JPH1083400A - Device and method for data retrieval, support and medium stored with program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable support when data is retrieved from a large amount of data by classifying the stored data into groups, generating representative words by the groups, and listing and displaying them. SOLUTION: A classification part 107 classifies cooking data stored in a data storage part 101 by a classifying method specified by a classifying method specification part 104 according to kinds of attributes as keys of classifications specified by an attribute specification part 103. Further, a group storage part 108 is composed of a RAM, a magnetic disk, etc., and stores subdata generated by the classification into the groups which is performed by the classification part 107. Then a representative word generation part 109 is actuated by a control part 112 to generate representative words corresponding to the groups classified by the classification part 107. In concrete, attribute values common to the subdata of the respective groups stored in the group storage part 108 and the numbers of subdata included in the respective groups are generated in pairs as the representative words of the respective groups.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a search support device, a data search support method, and a medium storing a data search support program for assisting in searching for desired data from a large amount of data.

[0002]

2. Description of the Related Art In recent years, with the spread of CD-ROMs and networks, a large amount of data can be easily handled. For example, if an electronic book (Canon Inc.) is used, the operator can search for necessary data from a large amount of data using an electronic book player.
Here, a search for data will be described using “JTB accommodation information '91” (Japan Transportation Corporation) as an example of an electronic book. When this electronic book is set in the electronic book player and the power is turned on, as shown in FIG.
A search screen for searching for a word prefix or for searching for accommodation by area, budget, or the like is displayed. Here, the operator is asked to
As shown in FIG. 6 (b), "Sapporo City" is entered for the item "Where do you want to select a region?" Then, the search result is displayed as shown in FIG. This screen shows that there are 102 accommodation facilities in Sapporo, and the names of the first eight accommodation facilities are displayed.
The operator can refer to the remaining 94 accommodation facilities by specifying the next page and the previous page.

[0003]

However, when data that slightly exceeds the data amount that can be displayed on the screen is searched as described above, it is not easy for the operator to find the data of the accommodation facility that the operator needs. . In other words, assuming that the data of the accommodation facility required by the operator is at the end of the data of 102 houses, the data of each accommodation facility must be searched by specifying the next page many times.

An object of the present invention is to provide a data search support device, a data search support method, and a medium in which a program is stored, which assists an operator when searching for desired data from a large amount of data. And

[0005]

In order to achieve the above object, the present invention relates to a data search support device, comprising: data storage means for storing a plurality of search result data; Classification means for classifying data into groups, for each group classified by the classification means, a representative word creation means for creating a representative word representing the group, and a list of representative words created by the representative word creation means Display means for displaying.

Here, the classifying means stores hierarchical data having a plurality of hierarchical data having a hierarchical relationship, and stores data stored in the data storing means in the hierarchical data storing means. And hierarchical data classifying means for classifying based on the hierarchical data. Here, the hierarchical data storage means stores a thesaurus which is a dictionary indicating a hierarchical relationship between a higher concept and a lower concept of a word, and the hierarchical data classification means searches the thesaurus, and searches the data storage means. The superordinate concept extracting means for extracting, for each data, the superordinate words of the words contained in the data stored in the data, and the extracted data of the superordinate concept are stored in the data storage means as one group. And a thesaurus classifying means for classifying the data into groups.

Here, the high-level concept extracting means includes a display capability storing means for storing a display capability indicating the number of items that can be displayed, a display capability reading means for reading the display capability from the display capability storing means, Reclassification determining means for determining whether the number of groups classified by the thesaurus classification means exceeds the read display capability, and determining that the number of the classified groups exceeds the display capability by the reclassification determination means. In this case, the word of the concept one level higher than the extracted word of the higher level concept is extracted by the higher level concept extracting means, and the word of the higher level concept extracted by the thesaurus classifying means is extracted based on the word of the higher level concept. And a re-classification control means for controlling the data to be classified into the data group.

Here, the upper concept extracting means includes a hierarchy designation receiving means for receiving designation of a hierarchy of the thesaurus, and a higher order of a word contained in the data based on the hierarchy of the thesaurus accepted by the hierarchy designation receiving means. A concept word extracting means for extracting a concept word from the thesaurus may be included. Here, the designated superordinate concept extracting means may be configured to extract words of the superordinate concept included in the hierarchy of the thesaurus accepted by the hierarchical designation receiving means.

Here, the hierarchical data classifying means may further receive the designation when the hierarchy of the thesaurus accepted by the hierarchy designation accepting means is a hierarchy lower than a word included in the data. Lower-level concept extracting means for extracting, from the thesaurus, words of lower-level concepts of the word included in the hierarchy, wherein the thesaurus categorizing means classifies data having the same extracted higher-level concept or lower-level word as one group. May be configured.

Here, the hierarchical data classifying means includes a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storing means, A first re-classification determining unit that determines whether the number of groups classified by the thesaurus classifying unit exceeds the read display capability; and a case where the number of groups classified by the thesaurus classifying unit is equal to or less than a certain value. Second re-classification determining means for determining whether or not there is, a designated hierarchy changing means for changing the hierarchy of the thesaurus received by the hierarchy specification receiving means to one level higher or one level lower, and the first re-classification determination When the number of the groups is determined to exceed the display capability by the means, the designated hierarchy changing means changes the hierarchy to one level higher in the thesaurus; The extraction of the words of the superordinate concept by the position concept extracting means and the classification of the data stored in the data storage means into groups by the thesaurus classifying means are controlled, and the number of the groups by the second reclassification judging means is controlled. Is determined to be equal to or less than a certain value, the designated hierarchy changing means changes the hierarchy to one level lower, the lower concept extracting means extracts lower concept words, and the thesaurus classifying means. Reclassification control means for controlling the classification of data stored in the data storage means into groups.

Here, the data storage means stores data composed of one or more attributes indicating the type of data and attribute values that are data belonging to the respective attributes. An attribute designation accepting unit for accepting designation of one or more attributes, wherein the superordinate concept extracting unit searches the thesaurus and extracts a superordinate concept word of an attribute value belonging to one or more designated attributes; You may comprise so that it may extract from a thesaurus.

Here, the representative word creating means may be configured to create a representative word for each group classified by the thesaurus classifying means. Here, the hierarchical data storage means stores a table of contents composed of a plurality of titles having a hierarchical relationship, and the data storage means stores data related to the table of contents. The data classification means is a data selection means for selecting data stored in the data storage means, a table of contents extraction means for extracting the title of the table of contents related to the selected data, and the extracted title is the same. A table of contents classifying means for classifying the data selected by the data selection means into groups, wherein the data is regarded as one group; An upper-level title extracting means for extracting, a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, and the display capability from the display capacity storing means. Display capability reading means for reading force, reclassification determining means for determining whether the number of groups classified by the table of contents classification means exceeds the read display capability, and the reclassification determining means When it is determined that the number of groups exceeds the display capability, the upper-level title extracting means extracts a title one level higher than the extracted title, and the higher-level title extracting means extracts the one-level higher rank. Reclassification control means for controlling the data to be classified into groups based on the title of the table, wherein the representative word creating means uses, for each group created by the table of contents classification means, a title corresponding to the group. You may comprise so that a representative word may be created.

Here, the hierarchical data storage means stores a gazetteer composed of a plurality of place names having a hierarchical relationship, and the data storage means stores data including place names, The hierarchical data classifying means compares a word included in the selected data with a place name in the gazetteer, and a data select means for selecting data stored in the data storage means. A place name extracting means for extracting the place names of the gazetteer, a place name classifying means for classifying the data stored in the data storage means into a group by using the data having the same extracted place name as one group, A high-level place name extracting means for searching a dictionary and extracting a place name higher than the extracted place name, and a display capacity storing means for storing a display capacity indicating the number of displayable items A display capability reading unit that reads the display capability from the display capability storage unit; a reclassification determining unit that determines whether the number of groups classified by the place name classification unit exceeds the read display capability; When the classification determining means determines that the number of the classified groups exceeds the display capability, the higher-level place name extracting means extracts a place name one level higher than the extracted place name, and Reclassification control means for controlling the data to be classified into groups based on the place name of one higher rank, wherein the representative word creation means corresponds to the group for each group created by the place name classification means You may comprise so that a representative word may be created using a place name.

Here, the data storage means stores data composed of a plurality of attributes indicating the type of data and having a hierarchical relationship and attribute values which are data belonging to the respective attributes. The data classifying unit includes: an attribute selecting unit that selects an attribute of the data stored in the data storage unit as a classification key for classifying the data stored in the data storage unit; From the selected data, data having the same attribute value belonging to the attribute selected by the attribute selecting means is collected.
Data classification means for classifying into two groups, classification judgment means for judging whether stored data is classified into one group or plural groups by the data classification means, and said classification judgment means By 1
Data classification control means for adding a lower-order attribute to the classification key when it is determined that the data is classified into two groups, and controlling the data to be classified into groups by the data classification means. You may.

Here, the data classifying means includes a display capacity storing means for storing a display capacity indicating the number of displayable items, a display capacity reading means for reading the display capacity from the display capacity storing means, Re-classification determining means for determining whether or not the number of data included in the classified one group exceeds the read display capability; and if the number of data included in the classified one group is determined by the classification determining means. When it is determined that the display capacity is exceeded, further lower-order attributes are added to the classification key, and the data classification unit is configured to include a re-classification control unit that controls the data to be classified into groups. Is also good.

Here, the data classifying means includes a classification key selecting means for selecting a first character of an attribute value selected by the attribute selecting means as a classification key for classifying the extracted data; Based on the classification key selected by the classification key selection means,
Character classification means for classifying the data into groups; character classification determination means for determining whether the data classified by the character classification means is classified into one group or a plurality of groups; and the character classification determination means. A character classification control unit that adds one more character to the classification key and determines that the character is classified into a group by the character classification unit when it is determined that the character is classified into one group. May be configured.

Here, the data storage means divides a place name into a plurality of hierarchically structured district names, and stores a place name dictionary having attributes corresponding to the plurality of divided district names. The attribute selecting means selects an attribute of a gazetteer as a classification key for classifying the place name stored in the data storage means, and the data classification means replaces the place name stored in the data storage means with the attribute Using the attribute selected by the selection unit as a classification key, the data is classified into groups by the data classification unit. The data classification control unit, when the classification determination unit is determined to have been classified into one group, to further add a lower attribute to the classification key, It may be configured to control so as to classify the groups by chromatography data classification means.

Here, the data classification means is a classification key selection means for selecting, as a classification key for classifying the extracted data, the first character of the attribute value of the attribute of the lowest hierarchy of the gazetteer. And the extracted data
Based on the classification key selected by the classification key selection unit, a character classification unit that classifies the data into groups, and the character classification unit classifies the classified data into one group or a plurality of groups. Character classification determining means for determining whether
When it is determined that the characters are classified into two groups, the character classification control means for adding the next one character to the classification key and controlling the characters to be classified into groups by the character classification means may be included. Good.

Here, the representative word creating means may be configured to create a representative word for each group classified by the hierarchical data classifying means. Here, the data storage means stores data composed of one or more attributes indicating a type of data and an attribute value which is data belonging to each attribute. The data stored in the storage unit may be configured to include an attribute classifying unit that classifies data having the same attribute value belonging to an attribute into one group.

Here, the attribute of the data stored in the data storage means is a character, a numerical value, or a date and time including at least one attribute of year, month, week, day, day of the week, and time. The attribute classification means may be configured to classify data stored in the data storage means into data of the same attribute value belonging to a character, numerical value, or date and time attribute into one group.

Here, the attribute of the data stored in the data storage means is constituted by date and time, the classification means stores a plurality of classification methods, and the attribute classification means stores the plurality of classification methods. A classification method designating means for designating one specific classification method from the method, and classifying data stored in the data storage means into groups by year, month and day,
It may be configured to include a classifying unit that classifies into groups by year and month, classifies into groups by year, month, and week, or classifies into groups by the beginning, middle, and end of year and month.

Here, the attribute classifying means includes a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storing means, A display determination unit that calculates the number of groups classified into groups and determines whether the number of groups exceeds the read display capability, and that the calculated number of groups exceeds the read display capability. If it is determined, the classification method specifying means may specify another classification method, and the classification performing means may include a classification repetition control means for performing control to perform classification into groups.

Here, the classification means includes an attribute designation receiving means for receiving designation of one or a plurality of attributes from the data stored in the data storage means, and the attribute classification means receives the designation. The data having the same attribute value belonging to one or more attributes may be classified into one group. Here, the attribute of the data stored in the data storage means is composed of a place name, and the attribute classifying means converts the data stored in the data storage means into data having the same attribute value belonging to the place name. May be configured to be classified into one group.

Here, the attribute of the data stored in the data storage means is constituted by a place name including a specific word indicating a plurality of districts arranged in a hierarchy, and the attribute classification means comprises: A place name extracting means for extracting names of a plurality of hierarchically arranged districts from the data stored in the data storage means based on the specific words indicating a plurality of hierarchically arranged districts; Based on the names of the plurality of cut-out hierarchically arranged districts, a hierarchical district classifying means for classifying the data stored in the data storage means into groups may be included.

Here, the data storage means stores a plurality of items including at least one sentence, and the classification means stores a word for decomposing a word from the plurality of items stored in the data storage means. Decomposing means, word storage means for storing a plurality of words decomposed by the word decomposing means and the item, and item classification means for classifying the items having the same word into the same group Is also good.

Here, 27 (1-3-1) (classification by word—classification by threshold) CL.26 (1-3)
A word selection unit that selects one or a plurality of words from the word storage unit, a threshold storage unit that stores a threshold value, and for each of the items, the one or more selected words, Threshold comparing means for comparing words stored in the word storing means and classifying the items in which the number of matching words is equal to or more than the threshold read out from the threshold storing means into one group. You may comprise so that it may contain.

Here, the data selection means may be configured to select all matching ones of one or more words decomposed from two or more items. Here, the data selection means may be configured to select one or more words decomposed from one item. here,
The data selection means may be configured to update a threshold value stored in the threshold value storage means.

Here, the threshold value classification means compares the selected one or more words with the words stored in the word storage means for each of the items, and determines the number of matching words. Sub-threshold classification means for classifying items that are equal to or larger than the threshold value read from the threshold storage means into one group; item removal means for removing the classified items from the word storage means; Until the classification of all items is completed, one or a plurality of words are selected by the data selection means, classified into groups by the sub-threshold classification means, and the items are removed by the item removal means. It may be configured to include repetition control means.

Here, the classification means comprises a primary classification means for classifying the stored data into a first group,
A secondary classification unit configured to classify the data into a second group based on the first group classified by the primary classification unit may be included. Here, the secondary classification means includes a display capacity storage means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storage means, A display capability classifying unit that classifies data included in the first group into a second group based on the read display capability for each of the first groups classified by the classifying unit; May be configured to create a representative word representing the second group.

Here, the secondary classification means includes a display capacity storage means for storing a display capacity indicating the number of displayable items, a display capacity change receiving means for receiving a change in display capacity, and a display capacity change receiving means. And a display capability updating unit configured to store the display capability received by the unit in the display capability storage unit. Here, the secondary classification means includes a number specification means for specifying a number, and a number classification means for further classifying the first group classified by the primary classification means into a second group for each of the specified numbers. And the representative word creating means may be configured to create a representative word representing the second group.

Here, the secondary classifying means includes a duplication number designating means for designating a duplication number and the last data in the first group by the designated duplication number adjacent to the first group. And a duplication classifying means for duplicating and copying at the head of another first group. Here, the secondary classification means includes a display capacity storage means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storage means, Display group selecting means for selecting the first groups for the number of display capacities read out from the first groups classified by the classifying means; and a specific one of the plurality of first groups selected by the display group selecting means. A second group selection unit that selects one group and sets it as a second group; and a second group selection unit that excludes the plurality of first groups selected by the display group selection unit from the first group classified by the primary classification unit. The data included in the plurality of first groups and the data that have not been classified are classified into the second group, and the first group classified by the primary classification unit is classified into the first group. A second group classifying unit that eliminates a plurality of first groups other than the plurality of first groups selected by the display group selecting unit from a loop, wherein the representative word creating unit includes: The representative word may be created using a word meaning "other", and the representative word creating means may be configured to create a representative word representing the first group and the second group.

Here, the classification means includes: a group classification means for classifying the stored data into groups;
It may be configured to include a re-classification judging unit for judging whether or not to perform re-classification, and a re-classification control unit for causing the classifying unit to classify into a group when it is judged that the re-classification is performed. Here, the re-classification determining means includes a display capacity storing means for storing a display capacity indicating the number of displayable items, a display capacity reading means for reading the display capacity from the display capacity storing means, and Display determination means for determining whether or not the number of read groups exceeds the read display capability, and reclassification control for performing classification by the group classification means when the display determination means determines that display is not possible. Means may be included.

Here, the reclassification judging means discriminates whether the classified data is classified into one group or a plurality of groups, and performs reclassification only when the data is classified into one group. It may be configured to make a determination. Here, the data storage unit stores data composed of a plurality of attributes indicating a type of data and an attribute value that is data belonging to each attribute.
The classifying unit receives, from the data stored in the data storage unit, an attribute specification receiving unit that receives specification of one or more attributes, and the data stored in the data storage unit, the specification being received. An attribute classifying unit that classifies data having the same attribute value belonging to an attribute into one group may be included, and the re-classifying unit may be configured to classify the attribute in place of another attribute.

Here, the data storage means stores data composed of a plurality of attributes indicating data types and attribute values which are data belonging to the respective attributes. An attribute designation receiving unit that receives designation of one or a plurality of attributes from the data stored in the data storage unit; Attribute classifying means for classifying the same data into one group, and the re-classifying means may be configured to classify the attribute in place of another attribute.

Here, the classification means stores a plurality of classification methods, and the re-classification means performs classification so that one classification method performed by the classification means is replaced with another classification method. You may comprise. Here, the data storage means stores data composed of a plurality of attributes indicating the type of data and having a hierarchical relationship, and attribute values which are data belonging to the respective attributes. Is 1 from the data stored in the data storage means.
Or, an attribute classifying unit that includes an attribute specification receiving unit that receives specification of a plurality of attributes, and classifies data stored in the data storage unit into data of the same attribute value belonging to the attribute whose specification has been received, into one group. And the re-classification unit may classify the attribute and an attribute of a lower hierarchy of the attribute into a group as a classification key.

Here, the classification means includes a display capacity storage means for storing a display capacity indicating the number of items that can be displayed, and a display capacity reading means for reading the display capacity from the display capacity storage means. Classification determining means, for each group classified by the group classification means, a representative word creation display means for creating a representative word representing the group, and displaying a list of created representative words; and the representative word creation display means A representative word receiving unit for receiving a designation of one representative word from a list of representative words displayed by the re-classification determining unit, wherein the re-classification determining unit determines the read display capability and the representative word received by the representative word receiving unit. Comparing with the number of data belonging to the group of, to determine whether or not to re-classify, the re-classification means, when it is determined by the re-classification determination means to re-classify, the representative The data belonging to the group of the representative words received by the receiving unit is further re-classified into a group, and when the re-classification unit performs the re-classification, the representative word creating unit represents the re-classified group. A representative word may be created, and the display means may display a list of representative words representing the reclassified group when the reclassification is performed by the reclassification means.

Here, the data search support device further includes classification instruction receiving means for receiving an instruction by the operator to start classification of data, wherein the classification means receives the instruction from the operator to start classification of data. When an instruction is received, the stored data may be classified into groups. Here, the classifying unit includes a classifying data creating unit that extracts a part of each data necessary for the classifying from the data storage unit and creates the classifying data, and the classifying unit is configured based on the created classifying data. Then, the data stored in the data storage means may be configured to be classified.

Here, the classification means includes a classification method receiving means for receiving designation of a classification method, and the classification means classifies the data according to the classification method received by the classification method reception means. May be.
Here, the data storage means stores data composed of a plurality of attributes indicating data types and attribute values which are data belonging to the respective attributes. An attribute classifying method receiving unit that receives designation of one of the combinations from the combination of the attribute and the attribute, wherein the classifying unit is configured to store the data according to the combination of the classifying method and the attribute received by the attribute classifying method receiving unit. May be configured to be classified.

Here, the data storage means stores data composed of one or more attributes indicating the type of data and attribute values which are data belonging to the respective attributes. The means may be configured to include an attribute value representative word creating means for creating a representative word using an attribute value for each group classified by the classifying means. here,
The attribute value representative word creation unit includes a representative word attribute designation unit that designates an attribute of data, and the representative word creation unit uses the attribute value belonging to the attribute designated by the representative word attribute designation unit, You may be comprised so that the typical word which represents a group may be created.

Here, the representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, and the representative word creating means includes a representative word including the calculated number of data. May be configured to be created. Here, the data number calculation unit includes a data number determination unit that determines that the data number calculated by the data number calculation unit is 1, and the representative word creation unit includes:
A representative word may be created using attribute values for a group whose data number is determined to be 1 by the data number determination unit.

Here, the classification means includes an attribute designation receiving means for receiving designation of one or more attributes from the data stored in the data storage means, and the attribute value representative word creating means comprises: A representative word may be created using all or a part of the character string constituting the attribute value of the attribute. Here, the representative word creating unit may be a character string that is an attribute value of the head data of the group classified by the classification unit, a character string that is an attribute value of the end data of the group, or an attribute value of the head data of the group. A representative word may be formed using a character string that is an attribute value of the end data of the group and a character string that is the last word of the group.

Here, the representative word creating means is configured to create a representative word using a character portion common to a character string which is an attribute value of a plurality of data included in the group classified by the classifying means. May be. Here, the attribute value representative word creating means may be configured to create a representative word using a minimum value, a maximum value, a minimum value and a maximum value, or an average value of the attribute values.

Here, the attribute is a date and time including at least one of the following attributes: year, month, week, day, day of the week, and time. The attribute value representative word creating means uses the attribute date and time to represent the attribute. It may be configured to create words. Here, the attribute value representative word creating means may include an attribute having the latest date and time, which is the newest attribute value among the attribute values having the date and time attribute belonging to the classified group, and an attribute having the date and time attribute belonging to the classified group. A representative word may be created using the oldest date and time, which is the oldest attribute value among the values, or the latest date and time and the oldest date and time.

Here, the representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, and the attribute value representative word creating means includes: A representative word may be created using the number of pieces of data obtained. Here, the attribute value representative word creating unit may be configured to create, for each group classified by the classifying unit, a representative word using a date and time common to the group.

Here, the representative word generating means includes a serial number generating means for generating a serial number for each group classified by the classifying means, and the representative word generating means uses the generated serial number. May be configured to generate a representative word. Here, the data storage unit stores a plurality of items including at least one sentence, and the classification unit includes a word decomposition unit configured to decompose a word from the plurality of items stored in the data storage unit. A word storage unit that stores a plurality of words and the items decomposed by the word decomposition unit, and an item classification unit that classifies the items having the same word into the same group, wherein the representative word creation unit includes: A representative word may be created using the word stored in the word storage means.

Here, the representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group. A representative word may be created using the calculated number of data. Here, the representative word creating means may be configured to create a representative word using the word and the item stored in the word storage means.

Here, the data storage means stores data composed of a plurality of attributes indicating the type of data and having a hierarchical relationship and attribute values which are data belonging to the respective attributes. The data classifying unit includes: an attribute selecting unit that selects an attribute of the data stored in the data storage unit as a classification key for classifying the data stored in the data storage unit; Data grouping means for collecting data having the same attribute value belonging to the attribute selected by the attribute selection means and classifying the data into one group, and storing the data by the data classification means into one group. Classification determination means to determine whether it was classified into one group, or classified into a plurality of groups, by the classification determination means,
Data classification control means for adding a lower-order attribute to the classification key when it is determined that the data is classified into one group, and controlling the data to be classified into groups by the data classification means; The creating unit may be configured to create a representative word by using the attribute value of the attribute of the upper layer common to the data included in the classified group by the data classification control unit.

Here, the data storage means divides a place name into a plurality of hierarchically arranged district names, and stores a place name dictionary having attributes corresponding to the divided plural district names. The attribute selecting means selects an attribute of a gazetteer as a classification key for classifying the place names stored in the data storage means, and the data classification means selects the place names stored in the data storage means. The attributes selected by the attribute selecting unit are classified as groups using the classification key, and the classification determining unit determines whether the data classification unit classifies the classified place names into one group or a plurality of groups. It is determined whether or not the data has been classified. If the classification determination means determines that the data is classified into one group, the data classification control means further assigns a lower-level attribute to the classification key. Add the controls to classify into groups by the data classification means, the representative word forming means,
The data classification control unit may be configured to create a representative word using an attribute value of a district name of an upper hierarchy common to data included in the classified group.

Here, the data search support device includes, instead of the data storage means, search means for searching data from a storage medium storing a plurality of data to be searched, and the classification means includes: The data may be configured to be classified into groups. Further, the present invention is a data search support method used in a data search support device including a data storage unit that stores a plurality of search result data, wherein a classification step of classifying the stored data into groups And, for each group classified by the classification step, a representative word creation step of creating a representative word representing the group, and a display step of displaying a list of the representative words created by the representative word creation step. Features.

The present invention is also a computer-readable recording medium for recording a data retrieval support program used by a computer having a data storage means for storing a plurality of retrieval result data. A classification step of classifying the data into groups;
For each group classified by the classification step, a representative word creating step of creating a representative word representing the group,
A display step of displaying a list of the representative words created by the representative word creating step.

The present invention also relates to a data retrieval support apparatus, which is a thesaurus which is a dictionary showing a hierarchical relationship between a superordinate concept and a subordinate concept of a word, which is a data storage means for storing a plurality of search result data. A hierarchical data storage unit for storing the thesaurus, and searching for a word of a higher concept of a word included in the data stored in the data storage unit,
High-level concept extracting means for extracting data for each data, a thesaurus classifying means for classifying data stored in the data storage means into groups, with data having the same extracted high-level concept word as one group, and displayable items Display capacity storage means for storing the display capacity indicating the number, display capacity read means for reading the display capacity from the display capacity storage means, and the number of groups classified by the thesaurus classification means indicating the read display capacity. Reclassification determining means for determining whether the number of groups exceeds the display capability if the number of the classified groups is determined to exceed the display capability by the reclassification determining means. The word of the concept one level higher than the word is extracted, and the concept of the level one level higher extracted by the thesaurus classifying means is extracted. Re-classification control means for controlling the data to be classified into groups based on words; representative word creation means for creating, for each of the classified groups, a representative word representing the group; and the representative word creation means And a display means for displaying a list of representative words created by.

Further, the present invention relates to a data search support device, wherein a search result comprising a plurality of attributes indicating the type of data and having a hierarchical relationship and an attribute value which is data belonging to each attribute. Data storage means for storing a plurality of data, and attribute selection means for selecting an attribute of the data stored in the data storage means as a classification key for classifying the data stored in the data storage means. A data classifying unit that collects data having the same attribute value belonging to the attribute selected by the attribute selecting unit from the data stored in the data storage unit and classifies the collected data into one group, and a display indicating the number of displayable items. A display capability storage unit that stores a capability, a display capability reading unit that reads the display capability from the display capability storage unit, and a data classification unit. First classification determining means for determining whether stored data has been classified into one group or a plurality of groups, and the number of groups classified by the data classification means exceeds the read display capability. A second classification determining unit that determines whether the data is classified into one group by the first classification determining unit, and further adds a lower attribute to the classification key; If the number of the classified group is determined to exceed the display capability by the second classification determining means, the classification key is changed to a higher-level attribute, Data classification control means for controlling the data to be classified into groups by the data classification means; and, for each of the classified groups, a representative representing the group. A representative word generating means for generating, characterized in that it comprises a display means for displaying a list of representative words the representative word producing means.

[0053]

BEST MODE FOR CARRYING OUT THE INVENTION

(Embodiment 1) Hereinafter, a data search support device according to one embodiment of the present invention will be described. FIG.
1 is a block diagram of the data search support device. The data search support device includes a data storage unit 101, a reception unit 1
02, attribute designation unit 103, classification method designation unit 104, thesaurus storage unit 105, thesaurus search unit 106, classification unit 107, group storage unit 108, representative word creation unit 109,
It comprises a display unit 110, a display capability storage unit 111, and a control unit 112.

The data storage unit 101 stores a magnetic disk or R
It is realized by OM or the like, and stores a plurality of data to be searched. FIG. 2 is an example of data stored in the data storage unit 101. Each data is composed of a plurality of dish data 201, 202,. The dish data 201, 202,... Are composed of a plurality of attributes. Here, the plurality of attributes are “dish” indicating the name of the dish.
"Cooking photo" with the "name" attribute and image data of the cooking photo
Attribute, a "cooking commentary" attribute indicating a cooking commentary, a "cooking" attribute indicating a cooking method, a "salt" attribute indicating the salt content of the dish, a "calorie" attribute indicating the caloric value of the dish, A "time" attribute indicating the cooking time and a "material" attribute indicating the name of the ingredient of the dish are shown. Next, in the cooking data 201,
Attribute value of "dish name" attribute "garlic sauteed pork" 2
11, the image data 212 of the dish which is the attribute value of the “dish photo” attribute, the attribute value of the “dish commentary” attribute “213 of garlic” and the attribute value of the “how to make” attribute “ .. 214, numerical data "1.7g" 215 of the amount of salt which is the attribute value of the "salt content" attribute, and numerical data "456kc of the heat value which is the attribute value of the" heat amount "attribute
al "216, numerical value data" 25 minutes "217 of cooking time which is an attribute value of" time "attribute, and character data" pork loin "," carrot "," celery "which is attribute value 218 of" material "attribute , "Peppers". Here, the “material” attribute has a plurality of attribute values corresponding to the number of ingredients for cooking.

Further, other cooking data 202, 203,.
Also has the same plurality of attributes as the dish data 201, but the attribute values corresponding to the attributes take different values depending on the individual dish data. Further, the data storage unit 101 may be realized by a floppy disk, CD-ROM, magneto-optical disk, or the like on which data is recorded, and a drive for reading the recorded data.

The receiving unit 102 includes a keyboard, a mouse, a pen and a pen tablet, and receives a classification instruction from the operator for classifying the cooking data stored in the data storage unit 101 into groups. For example, as shown in FIG. 3, buttons 21 and 2 displayed at the bottom of the screen are displayed.
2,..., 25 are specified by the operator. The ingredient button 21 is a button for classifying cooking data using a thesaurus stored in the thesaurus storage unit 105. The thesaurus will be described later. The ingredient 50 sound button 22 is a button for classifying cooking data into groups based on the order of the 50 names of the ingredient names. Salt button 2
3, the calorie button 24 and the time button 25 are buttons for classifying the dish data into groups according to the salt content, calorie, and cooking time of each dish.

The attribute designating unit 103 performs classification on the classification unit 10 based on the contents of the classification instruction received by the reception unit 102.
For 7, the type of attribute to be used as a classification key is specified. Specifically, in the reception unit 102, the material button 21 or the material 5
When the zero sound button 22 is designated, the attribute designation unit 103
Specifies the “material” attribute to the classifying unit 107. When the salt button 23, the calorie button 24, or the time button 25 is designated, the attribute designation unit 103
, "Salt", "calorie", and "time" attributes are specified.

The classification method designation unit 104 designates a classification method of the data stored in the data storage unit 101 to the classification unit 107 based on the instruction content of the classification instruction received by the reception unit 102. Specifically, the reception unit 10
When the material button 21 is specified in step 2, the classification method specification unit 104 specifies “classification using a thesaurus” described later as the classification method to the classification unit 107. Similarly, when the material 50 sound button 22 is specified in the reception unit 102,
“Classification based on Japanese syllabary” is specified to the classification unit 107. Further, in the reception unit 102, the salt button 23, the calorie button 2
4 or the time button 25 is designated, the “classification by numerical value” is designated to the classifying unit 107.

The thesaurus storage unit 105 is a storage unit for storing a thesaurus, and is realized by a magnetic disk, a ROM, or the like. Here, the thesaurus is a dictionary indicating the relationship between the superordinate concept and the subordinate concept of a word. FIG. 4 is an example of a thesaurus stored in the thesaurus storage unit 105. Column 301 is composed of words, and column 302 is composed of meaning codes corresponding to the words. FIG. 5 illustrates the relationship between words in the thesaurus in FIG. 4 in a tree structure. Words closer to the top of the tree structure have a higher concept. According to the tree structure,
For example, “meat” is understood to be a superordinate concept of “pork”, “beef”, and “chicken”, and “pork” means “pork loin”, “pork belly”, “pork chopped” "Is a superordinate concept of". Here, the meaning code in FIG. 4 indicates the relationship between the word corresponding to the meaning code, the word of the superordinate concept, and the word of the subordinate concept of the word. For example, although the meaning code of pork loin is “111”, the word of this superordinate concept is the word “pork” corresponding to the meaning code “11” excluding the last one digit of the meaning code. Thus, it can be said that the number of digits of the meaning code of a word indicates the distance of the word from the vertex on the thesaurus. The thesaurus storage unit 105 can also be realized by a floppy disk, CD-ROM, or magneto-optical disk on which such data is recorded, and a drive that reads out the recorded data.

When a word to be searched is given from the classification unit 107, the thesaurus search unit 106 searches the thesaurus storage unit 105 for the word, and obtains a word of a higher concept of the word. Specifically, this is performed as follows.
First, when, for example, the word “pork loin” is given from the classifying unit 107, the thesaurus searching unit 106 searches the thesaurus storage unit 105 and obtains the meaning code “111” of the “pork loin”. Next, thesaurus retrieval unit 10
6 deletes the last digit of the meaning code “111”,
“11” is obtained as the meaning code of the word of the superordinate concept of “pork loin meat”. Further, the word "pork" corresponding to the determined meaning code "11" is stored in the thesaurus storage unit 1.
05 and retrieve it as a word of a superordinate concept of "pork loin".

The classifying unit 107 sorts the cooking data stored in the data storage unit 101 by the type of attribute used as the key of the classification specified by the attribute specifying unit 103 and the classification method specified by the classification method specifying unit 104. Classify into groups. The classification unit 107 performs the classification method “classification using a thesaurus”
, A 50-sound classifying unit 1072 that performs “classification by 50 sounds”, and a numerical classifying unit 1073 that performs “classification by numerical values”.
Hereinafter, each unit will be described.

The thesaurus classifying unit 1071 is started when the classifying method “classification using a thesaurus” is designated by the classifying method designating unit 104, or the control unit 112 described later.
The cooking data stored in the data storage unit 101 is classified into groups using the "material" attribute designated by the attribute designation unit 103 as a classification key. When the classification method “classification using a thesaurus” is designated by the classification method designation unit 104, the thesaurus classifying unit 1071
Classify into groups as shown below. First, all the sub-data including the attribute value of the designated “material” attribute and the attribute value of the “dish name” attribute are extracted from the data storage unit 101 and stored in the group storage unit 108 described later. FIG. 6 shows a state in which the sub data extracted from the data storage unit 101 is stored in the group storage unit 108. Hereinafter, the thesaurus classifying unit 1071 classifies the data by classifying the sub data using that the sub data is an identifier of the data. in this way,
By using the sub data, the group storage unit 10
8 storage areas can be saved. Next, the thesaurus classifying unit 1071 uses the attribute values of the “material” attribute to group sub data having the same attribute value into one group, and classifies the sub data. For example, sub-data having the dish name "garlic sauteed pork" and "pork saute with apple sauce" have the same attribute value "pork loin" and are therefore classified into one group. FIG. 7 is a diagram illustrating the contents stored in the group storage unit 108 at the time when the classification of data by grouping sub data having common attribute values is completed. Here, only the first part of the created group (13 groups of pork loin, pork sliced meat, carrots and potatoes) is displayed, but it is assumed that 20 or more groups have been created.

On the other hand, when restarted by the control unit 112 described later, the thesaurus classifying unit 1071 classifies the groups as follows. In this case, since the result of the classification into the group is already stored in the group storage unit 108, the word of the superordinate concept of the attribute value of the “material” attribute of each group is obtained by using the thesaurus search unit 106, and the group storage The information is stored in the unit 108. For example, when the thesaurus search unit 106 searches for the broader term of the attribute value “pork loin” of the first group shown in FIG. 8, “pork” is obtained as described above. Is stored in the group storage unit 108 as shown in FIG. Here, in FIG. 8 and FIG. 9, the underlined words are representative words created by the representative word creation unit 109. The representative word creation unit 109 and the representative word will be described later. FIG. 9 shows the state of the group storage unit 108 at the time when the search for the word of the higher concept has been completed for all the groups. Next, the thesaurus classifying unit 1071 further groups the groups having the same general concept word as one group. For example, in FIG. 9, the group having the attribute value “pork loin” and the group having the attribute value “pork sliced” have the same superordinate word “pork”.
Into one group. FIG. 10 shows a state of the group storage unit 108 at the time when the classification of the data is completed using the words of the common superordinate concept. Here, only the first part (three groups of pork, root vegetables, and fruit vegetables) of the created group is displayed, but it is assumed that ten groups have been created. Further, the number of overlapping sub-data due to the grouping is reduced to one. For example,
In FIG. 10, a group having an attribute value “celery”
Since the group having the attribute value "peppers" has sub-data having the same dish name of "pork garlic saute", when categorizing into one group, one sub-data is deleted so as not to overlap.

The syllabary classification unit 1072 is activated when the classification method “classification by syllabary” is designated by the classification method designation unit 104, and the “material” designated by the attribute designation unit 103 is specified.
The attributes are used to classify the cooking data stored in the data storage unit 101 into groups based on the order of the Japanese syllabary. The syllabary classification unit 1072 is restarted by the control unit 112 described later. The syllabary classification unit 107
When the classification method “classification by Japanese syllabary” is specified by the classification method specifying unit 104, the food data is classified into groups as shown below. First, the thesaurus classification unit 107
In the same procedure as in the case of No. 1, all the sub data is extracted from the food data in the data storage unit 101 as a set of the attribute value of the “material” attribute and the attribute value of the “dish name” attribute, classified into groups, and 7 is stored in the group storage unit 108. Next, the syllabary classification unit 1072 sorts the groups in the order of the syllabary by the attribute value of the “material” attribute. FIG. 11 shows the group storage unit 1 after rearrangement.
08 shows the state.

On the other hand, when restarted by the control unit 112 described later, the syllabary classification unit 1072 classifies the group as follows. In this case, groups that have already been classified into groups and arranged in the order of the Japanese syllabary by material attribute value are grouped into one group in order of a fixed number. The certain number is designated by the control unit 112 described later to the syllabary classification unit 1072. For example, assuming that the specified fixed number is four, the syllabary classification unit 1072
Group the groups stored in the group storage unit 108 into one group in the order of four groups from the top. FIG. 12 shows the state of the group storage unit 108 after the classification has been completed. The part separated by the broken line is the group after being put together.

The numerical classifying unit 1073 includes a classifying method specifying unit 1
This is activated when the classification method “classification by numerical values” is specified in 04, and “salinity” specified in the attribute specification unit 103,
Either the “calorific value” or the “time” attribute, the data storage unit 10
The food data stored in No. 1 is classified into groups. The numerical classifying unit 1073 includes a control unit 11 described later.
2 is restarted.

The numerical classifying unit 1073 is described below when the classifying method “classification by numerical value” is specified by the classifying method specifying unit 104 and the “salinity” attribute is specified by the attribute specifying unit 103. The food data into groups. First, all the sub data in which the attribute value of the “salt content” attribute and the attribute value of the “dish name” attribute of each data are paired are extracted from the data storage unit 101. The extracted sub data is stored in the group storage unit 108. FIG. 13 shows a state in which the sub data extracted from the data storage unit 101 is stored in the group storage unit 108. next,
The numerical classification unit 1073 classifies the data by using the attribute value of the “salt content” attribute to group the sub-data having the same attribute value into one group. For example, since there are two sub-data items having a dish name "garlic sauteed pork" and "boiled pork loin in tomato" for the attribute value "1.7 g", they are put together and classified into one group. FIG. 14 shows a state of the group storage unit 108 at the time when the classification of the data is completed. Furthermore, the numerical classifying unit 1073 sorts each group by numerical data of the attribute value of the attribute “salt” in ascending order. FIG. 15 shows a state of the group storage unit 108 after the rearrangement. Here, only the first part (six groups of 0.6 g, 0.7 g... 1.1 g) of the created group is displayed, but it is assumed that 32 groups have been created.

On the other hand, when restarted by the control unit 112 described later, the numerical classifying unit 1073 classifies the data into groups as follows. In this case, they are already grouped,
The groups arranged in ascending order by the attribute value of salinity are 50
As in the case of the sound classification unit 1072, one by one
Into one group. FIG. 16 shows the state of the group storage unit 108 after the classification has been completed.

In the above description, only the case where the "salt content" attribute is designated by the attribute designation unit 103 has been described. However, when the "calorific value" or "time" is used, classification into the same group is performed. For example, when “calorie” is specified, sub-data that is a pair of the attribute value of the “calorie” attribute and the attribute value of the “dish name” attribute of each dish data is extracted from the data storage unit 101, and is extracted as a group. Classify. Similarly, when “time” is specified, the sub data that is a pair of the attribute value of the “time” attribute and the attribute value of the “dish name” attribute of each dish data is extracted,
Classify into groups.

The group storage unit 108 is composed of a RAM, a magnetic disk, or the like, and stores sub-data created by the classification performed by the classification unit 107 into groups.
The representative word creation unit 109 is activated by the control unit 112,
A representative word corresponding to the group classified by the classification unit 107 is created. Specifically, a set of attribute values common to the sub data of each group stored in the group storage unit 108 and the number of sub data included in each group is created as a representative word of each group. For example, as a result of the classification method “classification using a thesaurus”, the group storage unit 108 stores FIG.
Suppose that sub data composed of a set of an attribute value of a material and an attribute value of a dish name is classified based on the attribute value of the material as shown in FIG. Then, the attribute value common to the sub-data of the first group is “pork loin” and the number of sub-data is 7, so the representative word “pork loin 7 data” is created. The created representative words are stored at the head of each group in the group storage unit 108. FIG. 8 shows the state of the group storage unit 108 when the representative word creation unit 109 creates a representative word. The underlined part is the representative word of each group. However, as a result of the classification methods "classification by the Japanese syllabary" and "classification by numerical values", after the sub-data classified into the group is stored in the group storage unit 108, the classification into a group in which a plurality of groups are further combined into one group is performed. Is performed, for example, as shown in FIG. 12, there is no attribute common to all the sub data in one group. In this case, the representative word creation unit 109 creates a set of the first and last attribute values of each group and the number of data corresponding to the attribute values as a representative word of each group. For example, if the sub-data as shown in FIG. 12 is classified and stored in a group based on “classification based on the Japanese syllabary”, for the first group, “aspara to Create the representative word "cucumber 5 data". By combining the two attribute values with "~", the operator can recognize that data having attribute values "shrimp" and "cabbage" that are not explicitly shown exists in this group. FIG. 17 shows the representative word creation unit 109.
Is the group storage unit 108 when the representative word is created.
The state of is shown. The underlined part is the representative word of each group. Similarly, in the case of "classification by numerical values", for example,
Based on the sub-data classified into the group of FIG.
As shown in FIG. 18, a representative word is created.

The display unit 110 includes a CRT, an LCD, and the like, and displays data in the data storage unit 101, a list of representative words stored in the group storage unit 108, and the like. FIG. 19 shows the display unit 1 after the data search support device is activated.
10 shows a screen displayed. 501
Is the number of data stored in the data storage unit 101, and indicates that 91 data are stored.
Reference numeral 502 denotes a list of attribute values of the dish name of the stored dish data. 9 stored in the data storage unit 101
The names of the first ten dishes of one dish data are displayed. As shown at 502, the first "garlic saute of pork" being highlighted indicates that this dish data has been selected by the operator. The previous page button 503 is a button for displaying the previous page when the display is a plurality of pages. When this “previous page button” is designated by the accepting unit 102, the control unit 112
To display the previous page. Similarly, the next page button 504
Is a button for displaying the next page. The OK button 505 is a button for displaying detailed data of an item (inverted item) selected from the data displayed in the list. 506 and 507 are data selection buttons for changing data selection. Reference numeral 506 denotes a button for selecting data one level higher than the selected data, and 507 denotes a button for selecting data one level lower.

FIG. 20, FIG. 21 and FIG.
Is a list of representative words created by the classification methods “classification using a thesaurus”, “classification by Japanese syllabary”, and “classification by numerical values”, respectively. When a representative word is selected from these displayed lists and the “OK” button 505 is designated, the display unit 110 extracts the dish name of the dish data belonging to the group of the representative word from the group storage unit 108, and Display a list. For example, when "pork 9 data" is selected and the "OK" button 505 is designated in FIG. 20, a list of cooking names of 9 data cooking data belonging to the selected representative word group is displayed as shown in FIG. Is done.

The display capability storage unit 111 is constituted by a ROM or the like, and stores the display capability of the display unit 110. FIG.
4 shows the storage contents of the display capability storage unit 111. This content
This indicates that the display unit 110 can display characters up to 10 lines and 20 digits. The control unit 112 controls the group storage unit 108
The control unit controls the classification unit 107, the representative word creation unit 109, and the display unit 110 with reference to the display capability storage unit 111. Specifically, control is performed as follows. When the representative word creation unit 109 completes the creation of the representative word, the control unit 112
Represents the character amount of the representative word stored in the group storage unit 108 and the display unit 110 stored in the display capability storage unit 111.
And the display ability of In this case, the character amount of the representative word is the character amount of one line for each representative word when the representative words are displayed with line breaks one by one. When the control unit 112 determines that the character amount of the created representative word exceeds the display capability, the control unit 112 restarts the classification unit 107. For example, if there are more than 10 representative words, 10
Since the number of lines exceeds the line, it is determined that the character amount of the representative word exceeds the display ability. At this time, if the representative word has been created by the classification method “classification using a thesaurus”, the control unit 112
Reboot 71. Similarly, when the representative word is created by “classification by Japanese syllabary”, the control unit 112
The 0 sound classification unit 1072 is restarted. When the representative word is created by “classification by numerical values”, the numerical classification unit 10
Restart 73. When the syllabary classification unit 1072 is restarted, the control unit 112 further sets the syllabary classification unit 107
For 2, a fixed number required for re-classification is specified. The control unit 112 calculates the certain number as follows. The control unit 112 refers to the display capacity storage unit 111, and divides the number of groups that have already been created by the number of groups that can be displayed on the screen. For example, if the number of groups is 32 and the display capacity is 10 lines, a value obtained by dividing 32 by 10 is obtained, and 3 or 2 is obtained. Since there is too much, 1 is added to 3 and 4 is calculated as a fixed number. The control unit 112 also designates a certain number required for the re-classification to the numerical classifying unit 1073 as described above. If the control unit 112 determines that the display capacity is greater than the character amount of the created representative word, the control unit 112 activates the display unit 110 to display a list of the representative words. Further, the control unit 112 controls the classification unit 107
Is completed, the representative word creation unit 1
09 is started, and when the representative word creation unit 109 completes the creation of the representative word, the display unit 110 is started.

Next, the operation in the case of performing the classification method “classification using a thesaurus” in the data search support device shown in FIG. 1 will be described with reference to the flowchart in FIG. First, when the data search support device is activated, the display unit 110 displays the data storage unit 101 as shown in FIG.
Is displayed as much as possible, and buttons for classifying the data into groups are displayed at the bottom of the screen. In this state, when the operator specifies the material button 21 to the receiving unit 102 (step S101),
The attribute specifying unit 103 specifies the “material” attribute to the classifying unit 107, and the classifying method specifying unit 104 specifies the classifying method “classification using a thesaurus” to the classifying unit 107 (step S102, step S102). S103). Classification unit 10
The thesaurus classifying unit 1071 of No. 7 is activated by specifying the classification method “classification using the thesaurus”, and sets the attribute value of the specified “material” attribute and the attribute value of the “dish name” attribute as a set. The extracted sub data is extracted, and the sub data is stored in the group storage unit 108 as shown in FIG. 6 (step S104). In addition, the sub-data
Classification is performed as shown in FIG. 7 (step S10).
5). When the classification into groups is completed, the representative word creation unit 1
09 is started by the control unit 112 to create a representative word and store it in the group storage unit 108 as shown in FIG. 8 (step S106). The control unit 112 includes a display unit 110
Is compared with the character amount of the created representative word (step S107). In this case, since the amount of characters is greater than the display ability, the thesaurus classifying unit 1071 uses the thesaurus search unit 106 to find a word of a higher concept of the attribute value of the group being classified, and as shown in FIG. The information is stored in the storage unit 108 (step S108). The thesaurus classifying unit 1071 performs reclassification as shown in FIG. 10 based on the obtained words of the higher concept (step S109), and then the representative word creating unit 109 sets the representative of the reclassified group. A word is created as shown in FIG. 26 (step S110). Next, step S1
07, the display capacity is compared again with the character amount of the representative word. However, as a result of the re-classification in step S109, the number of groups becomes 9, and the character amount ≦ display capacity, so that the display unit 110 is displayed.
As a result, a list of representative words is displayed as shown in FIG. 20 (step S111).

Next, the operation of the data search support device of the first embodiment in the case of performing the classification method “classification by Japanese syllabary” will be described with reference to the flowchart of FIG. First, similarly to the operation in the case of “classification using a thesaurus” described above, the reception unit 102 sets the material 50 sound button 22
Is received (step S201), and the attribute designation unit 103
And the classification method designating unit 104 designates the “material” attribute and the classification method “classification by the Japanese syllabary” to the classifying unit 107 (step S202, step S20)
3). The syllabary classification unit 1072 of the classification unit 107 extracts the sub-data, classifies the sub-data, and rearranges them in the order of the syllabary as shown in FIG. 11 (steps S204 to S206). Thereafter, the representative word creating unit 109 is started by the control unit 112 and creates a representative word as shown in FIG. 28 (step S207). In this case, since character amount> display capability (step S208), the control unit 112
Calculates the number of groups to be grouped into one group,
A designation is made to the zero sound classification unit 1072 (step S209).
In this case, if the designated number is 4, the syllabary classification unit 1072 performs re-classification to group the four groups into one group as shown in FIG. 12 (step S210), and the representative word creation unit 109 A representative word is created as shown in FIG. 17 (step S211), and the display unit 110 displays a list of representative words as shown in FIG. 21 (step S21).
2).

Next, the operation in the case where the salt button 23 is specified and the classification method “classification by numerical values” is performed in the data search support device of the first embodiment will be described with reference to the flowchart of FIG. As in the case of the above-described operation in the case of “classification by the Japanese syllabary”, the receiving unit 102 receives the salt button 23 (step S301), and the attribute specifying unit 1
03 and the classification method designating unit 104 respectively indicate “salinity”
The classifying unit 107 classifies the attribute and the classification method “classification by numerical values”.
(Step S302, Step S30)
3). The numerical classifying unit 1073 of the classifying unit 107 extracts the sub data, classifies the sub data into groups, and sorts them in ascending order (steps S304 to S306). Thereafter, the representative word creation unit 109 is started by the control unit 112, and
(Step S30)
7). Hereinafter, processing is performed in the same manner as the operation in the case of “classification based on the Japanese syllabary” described above (steps S308 to S3).
12).

Further, the receiving unit 102 sets the calorie button 24
Also, when the time button 25 is received, the same operation as that described above is performed. Specifically, in the flowchart of FIG. 29, the “salt button” 23 in step S301
Is replaced with a “calorie button” 24 or a “salinity button” 25, and the “salinity” attribute of step S302 is
The same operation can be performed by replacing the “calorific value” attribute or the “time” attribute.

As described above, according to the data search support apparatus of the present embodiment, even when a large amount of data is stored or a large amount of data is searched, the "classification using a thesaurus" and The data is classified into groups until the number of groups in which the list of representative words can be displayed is displayed by "classification by the Japanese syllabary" or "classification by numerical values", and only the list of the representative words of the group is displayed on one screen. The operator
Using the list of the representative words, desired data can be easily searched. In this embodiment, the data storage unit 1
The data stored in 01 has been classified into groups,
However, the present invention is not limited to this. Classification into groups may be performed on data whose data amount is narrowed down by another search method, for example, a keyword search or the like. In that case, a search unit for performing a keyword search or the like is separately provided.

Further, with the specified attribute or the specified classification method, the data cannot be further classified into groups, and a list of representative words may not be displayed. Here, whether or not the list can be displayed is determined by the control unit 112 by the display capability storage unit 111.
This is done by referring to the stored contents of the above. When the list of the representative words cannot be displayed, the control unit 112 changes the attribute used by the classification unit 107 to another attribute, or changes the used classification method to another classification method, and further causes the classification unit 107 to They may be classified into groups. In this case, the change to another attribute or another classification method performed by the control unit 112 may use a predetermined one, or may use a specification specified by a separately provided specification unit. .

Further, the classification unit 107 classifies data using only one attribute at the time of classifying the data. However, the classification is not limited to one, and classification can be performed using a plurality of attributes. For example, using the “salinity” attribute and the “time” attribute, only data having a common attribute value corresponding to each attribute, for example, only data having a salinity of 1.3 g and a time of 20 minutes are set to 1
Into two groups. In this case, the reception unit 102
The specification of a plurality of attributes is received, and the attribute specification unit 103 specifies the plurality of attributes. The classification unit 107 performs classification into groups using the plurality of designated attributes. Classification using a plurality of attributes as described above is effective for classifying data when the types of attribute values corresponding to the data attributes are small.

The accepting unit 102 accepts a classification instruction with the buttons 21, 22... 25 for collectively designating the attribute and the classifying method. The attribute and the classification method may be specified separately. Further, the classifying unit 107 uses the attribute value of the dish name when classifying the dish data. May be used.

The classification unit 107 stores the sub-data in the group storage unit 108 when classifying the cooking data. The data may be stored in the group storage unit 108 as it is. The classification performed by the syllabary classification unit 1072 uses the order of the Japanese syllabary because the material name is written in Japanese. It may be classified.

Although the syllabary classification unit 1072 rearranges the data in the order of the Japanese syllabary from the front, the data may be rearranged in the order of the syllabary. In addition, the syllabary classification unit 1072 may categorize the syllabary into “a line”, “ka line”, “sa line”, and the like by using the line of the Japanese syllabary. The classification unit 107 may also classify the data into groups by setting the display capacity to the number of rows by one.
Classification for grouping may be performed.

Also, in the present embodiment, when searching using a thesaurus, the number of digits of the meaning code of the word of the attribute value of the “material” attribute is the same, so that the upper concept of the word of the attribute value is used. Words matched. For example, "pork loin"
The word of the superordinate concept of "pork sliced meat" is "pork". However, the number of digits of the meaning code of the word of the attribute value common to the two groups may be different between the two groups. In that case, the same broader term cannot be combined. For example, if the attribute value of a certain group is “pork” and the attribute value of another group is “pig chopped”, the words of the superordinate concept are “meat” and “pork”, respectively. Cannot be classified into one group. Therefore, in order to solve such inconvenience, a configuration in which a hierarchy specifying unit is newly provided may be adopted. The hierarchy designating section designates the hierarchy (the number of digits of the meaning code) of the word of the higher concept. Note that the hierarchy specification unit may receive specification of a hierarchy (number of digits of a meaning code) of a word of a higher concept to be obtained from the operator. The thesaurus search unit 106 searches for a word of a higher concept having a meaning code of the number of digits specified by the hierarchy specification unit. As a result, words of a higher concept in the same hierarchy are searched, so that even if the meaning codes of the attribute values have different numbers of digits, they can be classified into the same group. In addition, by giving an instruction to gradually decrease the number of digits to the hierarchy specifying unit, the number of groups to be created can be reduced. Also, the control unit 112
When the created representative words cannot be displayed on the display unit 110, the number of digits of the meaning code of the word of the superordinate concept is reduced by the hierarchy designating unit, and the thesaurus classifying unit 1071 is activated again. Can be reduced until the can be displayed.

When the data group to be classified is hierarchically classified as in the table of contents of a chapter / section of a book, the thesaurus classifying unit 1071 can classify the data group as a thesaurus. is there. In this case, a classification information storage unit that stores the classification information of the data group is provided. FIG. 31 shows a dish classification which is the classification information of the dish data shown in FIG. Each dish is classified into three levels. The major categories are "meat side dishes" and "vegetable side dishes", and there is a lower middle class, and each dish data is categorized below. In the case where the food classification is performed as a thesaurus, the reception unit 102 includes a button for performing the classification based on the food classification. When the food classification button is specified by the reception unit 102, the attribute specification unit 103 specifies the “dish classification” attribute to the classification unit 107, and the classification method specification unit 104
"Classification using a thesaurus" is designated as the classification method. The thesaurus classifying unit 1071 performs classification by referring to the classification information storage unit as a thesaurus. When this classification is applied to the entire data group, almost the same operation as menu search realized in a conventional electronic book or the like is realized. However, this method is different in that data narrowed down by another method such as a keyword search can be classified using the classification information and displayed in a list.

Also, from the number of digits specified in the hierarchy specifying section,
If the number of digits of the attribute value is small, the thesaurus search unit 106
By searching for all the words of the lower concept of the attribute value, it is possible to classify by the concept word of the same hierarchy. In classifying data into groups, the numerical classifying unit 1073 is also capable of classifying data into sharp numbers such as “1g” and “2g”.

Although the numerical classification unit 1073 performs the classification in ascending order, the classification may be performed in descending order. Further, the numerical classifying unit 1073 may classify the data near the boundary of the group so as to overlap and belong to both groups, instead of classifying any data into any one group. . FIG. 32 shows an example of the classification result. The data with the salt attribute value "1.0" is also included in the first group
You can see that it belongs to the following group. Specifically, it is realized by the following configuration. The data search support device includes an overlap width designation unit. The overlap width designation unit designates an overlap width. The overlap width designation unit may receive designation of the overlap width from the operator. The overlap width is the number of data overlapping between groups. The numerical classification unit 1073 sets the value obtained by adding the overlap width to the fixed number designated by the control unit 112 as the number of data to be grouped into one group. For example, if the specified fixed number is 4 and the overlap width is 1, the fixed number 4
1 plus 5 Then, the numerical classification unit 1073
Classifies the first five data in the data stored in the group storage unit 108 as one group based on the number 5, and the next group has an overlap width of 1
Therefore, the five data from the fifth data are classified into one group. With the above configuration, for example, even when the number of data included in the group is small, the possibility that necessary data exists in the selected group can be increased.

Although the representative word creating unit 109 creates a representative word including the number of data, it may create a representative word in which the number of data is omitted. Also, the representative word creation unit 10
No. 9, when the number of data is 1, an attribute value may be used instead of the number of data. For example, in FIG. 8, the representative word of the sixth group is “apple 1 data”, but instead of the number of data, the name of the dish is used as “apple pork saute with apple sauce”. Thus, the operator can easily understand what the cooking data containing the apple is in the ingredients.

The representative word creating unit 109 may create a representative word using an attribute value of an attribute specified separately by the operator, in addition to the attribute value common to the group. Specifically, it is realized as follows. The data search support device is
Further, a representative word attribute designation unit is provided. The operator specifies the attribute of the data used for the representative word from the representative word attribute designation unit,
specify. The representative word creating unit 109 uses the food name of the sub-data classified into the group, and stores an attribute value corresponding to the attribute specified by the representative word attribute specifying unit into the data storage unit 10.
Remove from 1. Next, the attribute values common to the group,
A representative word is created using an attribute value corresponding to the attribute specified by the representative word attribute specifying unit and the number of data. For example, when the “time” attribute is specified in the representative word attribute specifying section, in a group having a common attribute value “pork loin”, the attribute value of the “time” attribute of each data in the group is 20 minutes. Assuming that the thing is 3 data and the thing of 30 minutes is 4 data, the representative word creating unit 109 uses this to create a representative word "pork loin meat 20 minutes 3 data 30 minutes 4 data".

Although the representative word creation unit 109 uses the first and last attribute values of each group as the representative word, only one of them may be used. FIG. 33 shows a case where only the first attribute value is used. Also in this case, the representative word of the group "Aspara
5 data "and the representative word of the next group" Potato ~
By referring to "6 data", the operator can identify that data having the attribute value "shrimp" or "cabbage" in the "material" attribute exists in the group having the representative word "aspara-5 data". Similarly, FIG. 34 shows an example of representative words in the case of classification by numerical values.

In the case of the re-classification by the thesaurus, the representative word creating unit 109 further replaces the representative word “pork 9 data” as shown in FIG. "Pork"
A representative word “2 materials, 9 data” may be created. In addition, the representative word creating unit 109 may use an average value of attribute values of each group as a representative word of data having attribute values of numerical data. In that case, the operator may, for example,
It is possible to know that data having attribute values around the average value of the attributes belongs to the group. The average value is calculated, for example, by the representative word creation unit 109.

When the operator designates one representative word from the displayed list of representative words, data belonging to the group of the representative word is displayed on the display unit 110. However, the displayed data is displayed on the display unit 110.
If there is a large number of data exceeding the display capability of, the data cannot be displayed in a list. For example, when a list of representative words is displayed as shown in FIG.
If "white fish 21 data" is selected, only the first 10 data of the data are displayed. In this case, the operator can specify the next page button 504 to display the remaining data, but is not limited to this.
Further, the 21 data may be classified into groups. Specifically, it is realized by the following configuration. Control unit 112
Has a determination unit inside. The determination unit refers to the display capability storage unit 111 and determines whether the amount of data belonging to the group of the representative word selected by the operator exceeds the display capability. If it is determined that the number does not exceed, the data of the group is displayed on the display unit 110. On the other hand, if it is determined that the number exceeds the threshold, the determining unit causes the classifying unit 107 to further classify the data of the group into groups, and causes the representative word creating unit 109 to create a representative word for each of the classified groups. .

The display section is composed of a plurality of windows, each of which is operated by a user.
If you can change the number of display lines and display digits freely,
Depending on the number of display lines and columns in the changed window,
The number of display lines and the number of display digits stored in the display capability storage may be changed. Also, the data search support device replaces the data storage unit 101 with a plurality of search target data,
A reading unit that reads data from a recording storage medium may be provided, and the classification unit 107 may classify the read data into groups.

(Embodiment 2) A data search support apparatus according to another embodiment of the present invention will be described below. FIG. 35 is a block diagram of the data search support device. The data search support device includes a data storage unit 3301, a search unit 3302, a search data storage unit 3303, a classification unit 3304, a representative word creation unit 3305, a display unit 3306, a display capability storage unit 3307, and a reception unit 330.
8, and a control unit 3309.

The data storage unit 3301 is realized by a magnetic disk, a ROM, or the like, and stores a plurality of data to be searched. This data includes attribute values of a plurality of attributes. FIG. 36 shows an example of stored data. This data is place name data, and one place name data is
“Prefecture” attribute 3401, “city” attribute 3402,
It is composed of five attribute values, a “ward” attribute 3403, a “district” attribute 3404, and a “zip code” attribute 3405. The “zip code” attribute 3405 is represented by a numeral, and each attribute other than the “zip code” attribute 3405 has a kanji notation as an attribute value and a reading of the kanji notation (in this case, hiragana notation). The data storage unit 3301
Indicates a floppy disk or CD-R on which data is recorded
It may be realized by an OM, a magneto-optical disk, or the like, and a drive for reading the recorded data.

The search section 3302 includes a data storage section 3301
The place name data stored in the
Search with the character string passed from # 9. For example, when the character string “Asahioka” is passed, as shown in FIG. 37, the place name data including “Asahioka” is retrieved by reading. The search data storage unit 3303 is realized by a RAM, a magnetic disk, or the like.
2. Receive and store the search result of 2.

The classification unit 3304 is activated by the control unit 3309 and classifies place name data stored in the search data storage unit 3303 into groups. Specifically, in the searched place name data, data having the same attribute value of the “prefecture” attribute 3401 is classified into one group. This means that the place name data is classified by prefecture.
FIG. 38 shows the storage contents of the search data storage unit 3303 after the classification unit 3304 classifies the place name data having the same attribute value of the “prefecture” attribute 3401 into one group from the searched place name data. ing. Dashed lines indicate the boundaries of each group. In FIG. 38, the data of the first group have the same attribute value of the “prefecture” attribute 3401 for “Hokkaido”, which indicates that the data is classified into one group.

Here, when the attribute value of the “prefecture” attribute 3401 of all the place name data is the same, the data cannot be classified into a plurality of groups. In this case, the classification unit 3304
In addition to “prefecture” attribute 3401, “city” attribute 3
The place name data is classified using the attribute value of 402. If the attribute values of the “prefecture” attribute 3401 and the “city” attribute 3402 of all the place name data are the same, the classification unit 3
304 further classifies using the attribute value of the “ward” attribute 3403. In addition, "prefecture" attribute 3401,
If the attribute values of the “city” attribute 3402 and the “ward” attribute 3403 are the same, the place name data in which the first character of the attribute value of the “district” attribute 3404 is the same is classified into one group. If the first character of the attribute value of the “district” attribute 3404 of all the place name data is the same, the number of characters from the beginning of the attribute value is increased to two or three characters until the data can be classified into a plurality of groups. Classify the data.

The representative word creation unit 3305 includes a control unit 3309
, And creates a representative word for each group of the classified place name data stored in the search data storage unit 3303 by using an attribute value common to each group. For example,
When place name data classified into groups are stored as shown in FIG. 38, the data of each group has the same attribute value of the “prefecture” attribute 3401. A representative word is created using the attribute value of the “prefecture” attribute 3401 and the number of data. Since the first group has the attribute value “Hokkaido” and the number of data is “3”, the representative word “Hokkaido 3 data” is created. The created representative words are stored in the search data storage unit 3303 together with the place name data. FIG. 39 shows the storage contents of the search data storage unit 3303 after the representative words have been created. The underlined part is the representative word of each group.

The display unit 3306 stores the search data storage unit 33
A list of place name data and representative words stored in 03 is displayed. The display unit 3306 includes a search data storage unit 3303
A list of representative words is created and displayed by extracting all the representative words stored in. FIG. 40 shows the display unit 330.
6 shows an example of a list of representative words displayed by 6. Here, the display unit 3306 assigns a data number to each representative word in order from the top. Further, when one representative word is selected by the operator from the displayed list of representative words, the display unit 3306 retrieves the place name data corresponding to the representative word from the search data storage unit 3303 and displays it. . For example, when the operator selects the representative word “Hyogo prefecture 3 data” in the list of representative words in FIG. 40, the display unit 3306 displays the place name data belonging to the group as shown in FIG.

The display capability storage unit 3307 is realized by a ROM or the like, and stores the display capability of the display unit 3306. FIG.
Is the storage content of the display capability storage unit 3307, which indicates that the display unit 3306 has the capability to display a character string of 50 lines, that is, 50 place name data and representative words. The receiving unit 3308 includes a keyboard and the like,
A selection of a character string for searching data or a representative word is received from the operator. The selection of the representative word is accepted by the data number assigned to the representative word.

The control unit 3309 includes a search unit 3302, a classification unit 3304, a representative word creation unit 3305, and a display unit 3306.
Control. Specifically, the control unit 3309 controls the reception unit 3
When 308 receives the character string from the operator, the character string is passed to the search unit 3302. The search result of the search unit 3302 is stored in the search data storage unit 3303. Here, the control unit 3309 compares the number of place name data, which is the stored search result, with the content stored in the display capability storage unit 3307. If the display ability exceeds the number of place name data, the searched place name data can be displayed as it is, and thus the display unit 3306 displays the data. On the other hand, if the number of searched place name data exceeds the display capability, the searched place name data cannot be displayed as it is,
The classification unit 3304 is activated. When the classification in the classification unit 3304 is completed, the representative word creation unit 3305 is activated, and the created representative words are displayed on the display unit 3306. When the operator selects one representative word from the displayed list of representative words via the receiving unit 3308, the control unit 3309 passes the representative word to the display unit.

Next, in the data search support device shown in FIG. 35, the operation in the case where the data storage unit 3301 stores the place name data shown in FIG. Will be described with reference to the flowchart in FIG. The operator uses the character string "Asahioka" to search for the postal code of "Asahigaoka, Akashi-shi, Hyogo". Here, the search can be performed using the character strings of all the addresses, but the burden on the operator can be reduced by inputting only “Asahioka”.

The receiving unit 3308 converts the character string “Asahigaoka”
Is received (step S401), a search is performed using the character string, and the place name data shown in FIG. 37 is stored in the search data storage unit 3303 (step S402). In this case, it is assumed that there are a total of 110 place name data having “Asahioka” shown in FIG. 37 as an attribute value. Next, the control unit 11
No. 2 compares the number of data that can be displayed with the number of place name data in the search result (step S403). In this case, since the number of place name data in the search result is 110, which exceeds the number of data that can be displayed, the classifying unit 3304 is started by the control unit 3309, and as shown in FIG. The place name data in 3303 is classified into a group with the “prefecture” attribute 3401 (step S40).
4). Since the number of groups in FIG. 38 is larger than 1 (step S405), the representative word creating unit 3305 creates a representative word as shown in FIG. 39 (step S414), and the display unit 3306 creates a representative word as shown in FIG. Then, a list of the created representative words is displayed (step S415). Here, when the selection of the displayed representative word, for example, the selection of the representative word “Hyogo prefecture 3 data” is received from the operator (step S416), the display unit 3306 displays the place name data belonging to the group of the representative word. Is displayed as shown in FIG. 41 (step S417). Thus, the operator can know the postal code “673” of “Asahigaoka, Akashi-shi, Hyogo”.

If the number of classified groups is 1 in step S405, the control unit 3309 causes the classification unit 33
04 is activated, and data having the same attribute value as the sum of the attribute value of the “prefecture” attribute and the attribute value of the “city” attribute is classified into groups (step S406), and the classified group is greater than 1 If the number is large (step S407), the control is shifted to step S414. Classified group is 1
In the case of (step S407), the classifying unit 3304 is activated by the control unit 3309, and the attribute value of the "prefecture" attribute, the attribute value of the "city" attribute and the attribute value of the "ward" attribute are matched. The data having the same attribute values are classified into groups (step S408), and if there are more than one group (step S409), step S414 is performed.
Transfer control to If the classified group is 1 (step S409), the variable N is set to 1 (step S4).
10), the control unit 3309 activates the classification unit 3304, and the attribute value of the “prefecture” attribute, the attribute value of the “city” attribute, the attribute value of the “ward” attribute, and the attribute value of the “district” attribute The data having the same attribute value as the first N characters is classified into groups (step S411), and if there are more than one group (step S412), control is transferred to step S414. If the classified group is 1 (step S412), 1 is added to the variable N (step S413), and the control shifts to S411.

As described above, according to the data search support device of the present embodiment, even when a large amount of data is searched, the data is classified into groups based on the attribute values of the place name data, and Since only the list of representative words is displayed on one screen, the operator can easily search for desired data using the list of representative words. In the present embodiment, the place name data is represented by the attribute values of four attributes of “prefecture” attribute, “city” attribute, “ward” attribute, and “district” attribute. The attribute values are not limited to the above, and all of these attribute values may be combined into the attribute value of one “place name” attribute. In this case, in order to classify the place name data into groups, a place name dictionary storage unit is newly provided. The gazetteer storage unit stores a hierarchical relationship among “prefectures”, “municipalities”, “municipalities”, and “districts”. The classification unit 3304 divides the attribute value of the “place name” attribute into each layer of “prefecture”, “city”, “ward”, and “district” by referring to the gazetteer storage unit. , Data can be classified.

Further, as described above, the case where the place name data is represented only by the attribute value of the “place name” attribute,
Further, even in the case where there is no gazetteer storage unit, the present invention can be implemented as follows. In this case, the classification unit 3304
Common items are classified into groups by using the first N characters of each place name reading. For example, if classification is made into groups by prefecture, each prefecture can be identified by the first two characters. The representative word creation unit 3305 uses, as a representative word, a character string portion common from the head of the place name notation belonging to the group. Further, if this method is used, not only place name data but also arbitrary character string data can be classified.

In the present embodiment, the place name structure in Japan is used, but in the United States, “state”,
"County", in the UK "county"
This can be implemented by using “borough” or the like. (Embodiment 3) Hereinafter, a data search support device according to another embodiment of the present invention will be described.

FIG. 44 is a block diagram of this data search support device. The data search support device includes a schedule storage unit 4201, a display capability storage unit 4202, a classification unit 4
203, group storage unit 4204, representative word creation unit 420
5, a display unit 4206 and a reception unit 4207. The schedule storage unit 4201 is realized by a magnetic disk, a RAM, or the like, and stores schedule data. FIG. 45 is an example of stored schedule data. Each data is composed of a “date and time” attribute 4301 and a “content” attribute 4302. The “date and time” attribute 4301 takes month, day, day of the week, and time as attribute values. However, the time may be omitted. The “content” attribute 4302 is composed of character data. Each schedule data is stored in the order of the attribute values of the “date and time” attribute 4301. It is assumed that the schedule data in which the time is omitted has an order relationship before the schedule data in which the time is described.

The display capability storage unit 4202 is realized by a ROM or the like, and stores the display capability of a display unit 4206 described later. FIG. 46 shows the storage contents of the display capability storage unit 4202, which indicates that the display unit 4206 has a capability of displaying five items, that is, five pieces of schedule data. Upon receiving a classification instruction from the reception unit 4207, the classification unit 4203 classifies the schedule data stored in the schedule storage unit 4201 into groups using the attribute value of the “date and time” attribute 4301. Specifically, it is performed as follows. First, the classification unit 4203 compares the number of displayable items stored in the display capability storage unit 4202 with the number of schedule data stored in the schedule storage unit 4201, and compares the schedule data with the display unit 420.
In step 6, it is checked whether all images can be displayed. If the display is possible, the classification unit 4203 causes the display unit 4206 described later to display the schedule data. As shown in FIG. 45, if 14 pieces of schedule data are stored in the schedule storage section 4201, the number of displayable items exceeds 5, so that the classifying section 4203 judges that all the schedule data cannot be displayed. I do. If it is determined that the image cannot be displayed, the classifying unit 4203 outputs the “date and time” attribute 4301
The schedule data having the same month / day / day of the week is classified into one group and stored in the group storage unit 4204. If the number of groups after the classification is equal to or more than the number of displayable items stored in the display capability storage unit 4202, the classification unit 4
203 uses the month and day of the “date and time” attribute 4301 to
Reclassify schedule data with the same week into one group. The classification into weeks is, for example, focusing on the day, from 1 day to 7 days.
The first week until the day, and similarly the second week from the 8th to the 14th,
・ ・If the number of groups after the classification is still equal to or more than the number of displayable items, the schedule data having the same month is re-classified into one group using the month of the “date and time” attribute 4301. When the number of groups becomes equal to or less than the number of items that can be displayed, the classification unit 4203 outputs a representative word creation unit 420 described later.
5 causes the display unit 4206 to display a list of the representative words. Even if the month is re-classified using the same schedule data, if the number of groups is equal to or greater than the number of displayable items, the classification unit 4203 displays a display indicating that classification is not possible on the display unit 42.
06.

The group storage unit 4204 is realized by a RAM, a magnetic disk, or the like, and stores schedule data classified by the classification unit 4203. Also, a representative word created by a representative word creating unit 4205 described below is stored in association with a group. The representative word creating unit 4205 is activated by the classifying unit 4203, creates a representative word for each group stored in the group storage unit 4204, and creates a representative word.
4 is stored. When the schedule data in which the data stored in the group storage unit 4204 is the same for all of the month, day, and day of the week is classified into one group, the representative word creation unit 4205 determines the month, day,
The day of the week and the number of data are created as representative words. For example, as shown in FIG. 47, when schedule data having the same month, day, and day of the week are classified into groups as one group, the number of data of the group on April 1 is two.
“April 1 (Mon) 2” is created as a representative word. Similarly, as shown in FIG. 48, when the schedule data having the same week is classified into one group,
Since the group up to the 6th is the first week of April and the number of data is 10, “April first week 10” is created as a representative word. When the same schedule data is classified into one group for the same month, for example, in April data,
If the number of data is 14, "April 14" is a representative word
Is created.

A display unit 4206 displays a list of schedule data stored in the schedule storage unit 4201 and a list of representative words stored in the group storage unit 4204 in accordance with an instruction from the classification unit 4203. For example, FIG.
Shows a state in which a list of representative words of the schedule data classified into groups based on the week is displayed. In the state where the list of the representative words is displayed in this way, when the designation of one representative word in the list is received from the receiving unit 4207, the display unit 4206 stores the schedule data belonging to the group of the representative words in the group. Part 420
4 and read out.

The receiving unit 4207 is realized by a keyboard, a mouse, or the like, and receives a classification instruction from the operator, which is an instruction to classify schedule data into groups. Also,
When a list of representative words is displayed on the display portion 4206,
The designation of one representative word in the displayed list is received from the operator. Next, in the data search support device shown in FIG.
The classification operation in the case where the schedule data shown in (1) is stored will be described with reference to the flowchart of FIG.

When the classification instruction is received by the reception unit 4207 (step S501), the classification unit 4203 compares the number of displayable items with the number of schedule data (step S502). In this case, the number of displayable items is 5, and the number of schedule data is 1 as shown in FIG.
Since there are four, the classification unit 4203 performs classification into groups. First, as shown in FIG. 47, the classification unit 4203 classifies data having the same month, day, and day of the week into one group (step S504). In this case, the number of groups is as shown in FIG.
As shown in FIG. 7, the number becomes nine, and the number of displayable items is five.
Since the number exceeds the number (Step S505), the classification unit 4203 further classifies the weeks into groups as shown in FIG. 48 (Step S506). In this case, as shown in FIG. 48, the number of groups is four, which is less than five, which is the number of displayable items.
3 judges that a list of representative words can be displayed (step S50)
7) The representative word creating unit 4205 creates a representative word of each group classified into the group (step S511),
The display unit 4206 displays one column of the representative words shown in FIG. 49 (step S512).

In step S502, the number of displayable items and
The schedule data is compared with the number of schedule data. If the number of displayable items is larger or equal, a list of schedule data is displayed (step S503), and the process ends. In step S507, the number of groups is compared with the number of displayable items. If the number of groups is larger, the data having the same month is classified into one group and stored in the group storage unit 4203 (step S507). In this case, the number of classified groups is compared with the number of displayable items (step S50).
9) If the number of displayable items is larger or equal, control is transferred to step S511. If the number of displayable items is smaller, no further classification is possible,
Outputs a message indicating that classification is impossible (step S
510), and the process ends.

As described above, according to the data search support device of the present embodiment, even if the stored schedule data is too large to be displayed in a list, the stored data can be displayed in the number of displayable items. As described below, the data is classified into a group using the date and time of the schedule data, and a representative word representing the group is created and displayed. Can be easily searched.

The classifying unit 4203 uses the “date and time” attribute 430 to classify the schedule data by week.
Although the classification is performed using the month and day 1, the classification may be performed by using the day of the week and the day of the week in addition to the month and day. Specifically, the classification unit 4203 has a calendar inside. For example, when classifying Sunday to Saturday into the same week, the calendar is used to determine the day from the first day of the month to the first Saturday. The first week is similarly classified, and similarly from the day after the first Saturday to the second Saturday, the second week is classified.
In this case, the first week and the last week of the month may not exist for seven days.

Further, the classifying unit 4203 may classify the schedule data into early, middle and late months of the month instead of classifying the schedule data into weeks. In this case, for example, the beginning of the month is from 1st to 10th of the month, and the middle is from 11th to 2nd of the month.
Until 0, the end is from the 21st to the end of the month. Also,
In the first week of the month, the representative word creating unit 4205 creates a representative word such as “first week of April”, but is not limited thereto. For example, the first and last schedule data in a group It is also possible to set “4/1 to 4/6” by using the “date and time”. In addition, “4/1 to” is set using only the “date and time” of the first schedule data in the group, and “to 4/6” is set using only the “date and time” of the last schedule data in the group. It is also possible. (Embodiment 4) A data search apparatus according to another embodiment of the present invention will be described below.

FIG. 51 is a block diagram of the data search support device. The data search support device includes a teletext receiving unit 4901, a data storage unit 4902, a morphological analysis unit 4
903, data comparing section 4904, data selecting section 490
5. Selection result storage unit 4906, matching word extraction unit 490
7, matching word storage unit 4908, threshold storage unit 490
9, group creation unit 4910, representative word creation unit 4911,
It comprises a group storage unit 4912, a display unit 4913, a display capability storage unit 4914, a reception unit 4915, and a control unit 4916.

The teletext receiving unit 4901 is composed of an antenna, a tuner, a decoder, and the like, and receives teletext text data through various radio communication lines such as a radio and a television, and a wired communication line such as a CATV and a computer network. I do. The data storage unit 4902 is constituted by a magnetic disk or the like, and stores the character data received by the teletext receiving unit 4901 as article data together with the article number and the reception time. Here, the article number is assigned when the teletext receiver 4901 receives the article data, and is used to identify the article data. FIG.
2 is an example of data stored in the data storage unit 4902. Each data includes an article number 5001, article data 5002 which is a character string, and a reception time (not shown). Here, the data storage unit 4902 stores a large number of data,
It shall be stored in the order of reception. However, in the description of the present embodiment, for simplification of the description, the article number 100
The following description is based on the assumption that only 11 pieces of article data from to 110 are stored.

The morphological analysis unit 4903 includes a control unit 4916
, A morphological analysis of the article data 5002 stored in the data storage unit 4902 is performed, and the data is divided for each word. FIG. 53 shows the contents stored in the data storage unit 4902 at the time when the morphological analysis has been completed. In the figure, "/" is used to delimit words. The data comparison unit 4904 is activated by the control unit 4916 after morphological analysis of the article data, extracts two pieces of article data from the article data stored in the data storage unit 4902, and matches the two pieces of article data. The number of matching words, which is the number of words, is calculated. However, the words to be compared here are independent words excluding particles, auxiliary verbs, and the like. The data comparison unit 4904
For the article data stored in the data storage unit 4902, the number of matching words is sequentially calculated for all combinations of two pieces of article data. For example, the article number "1
"00" and the article data of the article number "101",
Next, article numbers “100” and “102”, and “1”
00 "and" 103 ", ..." 101 "and" 10 "
2 "," 101 "and" 103 ", ...," 109 "
The number of matching words is calculated for all combinations of article data, such as the combination of "." Each time the data comparing unit 4904 calculates the number of matching words,
The article numbers of the two article data are passed to the data selection unit 4905 together with the number of matching words. For example, in the case of the article data of the article number “100” and the article data of the article number “101”, only the word “news” matches as shown in FIG. 53, so that the number of matching words is “1”. Become. Therefore, the article numbers “100” and “10”
1 "and the number of matching words" 1 "
Hand over to 05. Similarly, if the article data is the article number “100” and the article data is the article number “102”, the words “news”, “Matsushita Electric”, “consumption”, “power”,
Since the seven words “half”, “television”, and “release” match, the article numbers “100” and “102” and the number of matching words “7” are passed to the data selection unit 4905.

The data selection section 4905 includes a data comparison section 4
The two data having the largest number of matching words calculated in 904 are selected, and the article number and the number of matching words of the two data are stored in a selection result storage unit 4906 described later. Specifically, this is performed as follows. Data selector 49
05 receives two article numbers and the number of matching words from the data comparison unit 4904. When it is first received, it is stored in the group storage unit 4912 as it is. When the number of matching words newly received is larger than the number of matching words newly received, the number of matching words stored in the group storage unit 4912 is compared with the number of matching words newly received.
The two article numbers and the number of matching words stored in the selection result storage unit 4906 are replaced with the new two article numbers and the number of matching words.

For example, when the data selection unit 4905 first receives the article numbers “100” and “101” and the number of matching words “1” from the data comparison unit 4904, the data selection unit 4905 directly stores them in the selection result storage unit 4906. Let it. FIG.
Indicates the contents stored in the selection result storage unit 4906 in this state. 5201 and 5202 are article numbers, 5203
Is the number of matching words. Next, article numbers "100" and "1"
When the data selection unit 4905 receives the “02” and the number of matching words “7” from the data comparing unit 4904, the data selecting unit 4905 compares the stored number of matching words “1” with the newly received matching word number “7”. It is determined that the number of new matching words “7” is larger, and as shown in FIG.
06 is stored in the newly received article number "10
"0" and "102", and the number of matching words is updated to "7". Such a work is performed for all data stored in the data storage unit 4902, and finally, the selection result storage unit 4906 stores the article number “100” which is the combination of the data having the largest number of matching words. And “104”, and the number of matching words “8” are stored.

The selection result storage unit 4906 is constituted by a magnetic disk or a RAM, and stores two article numbers and the number of matching words, which are the selection results of the data selection unit 4905. The matching word extraction unit 4907 includes a data selection unit 4905
Is activated by the control unit 4916 when the data selection is completed, and is stored in the selection result storage unit 4906.
A word that matches between the article data indicated by the two article numbers is extracted from the data storage unit 4902 and stored in the matched word storage unit 4908. For example, if the article numbers stored in the selection result storage unit 4906 are “100” and “104”, the matching word extraction unit 4907 stores the article numbers “100” and “10” from the data storage unit 4902.
4, the words "News", "Matsushita Electric", "Consumption", "Electricity", "Half", "New",
The eight words “TV” and “release” are extracted and stored in the matched word storage unit 4908. In addition, matching word extraction section 490
Reference numeral 7 sets a later-described threshold in a later-described threshold storage unit 4909 using the number of matching words stored in the selection result storage unit 4906. Specifically, the smaller number of the stored number of matching words and “2” is set. For example, if the number of stored matching words is “8”, “2” is set.

The matching word storage unit 4908 is constituted by a magnetic disk or a RAM, and stores the matching words extracted by the matching word extracting unit 4907. FIG. 57 shows the matching word extraction unit 4
A matching word storage unit in the case where eight matching words “news”, “Matsushita Electric”, “consumption”, “power”, “half”, “new”, “television”, and “release” are extracted by 907 4
908 shows the stored contents.

A threshold storage unit 4909 is formed of a magnetic disk or a RAM, and stores a numerical value set by the matching word extraction unit 4907 in a threshold value used by a group creation unit 4910 described later when classifying data into groups. To be stored. FIG. 58 is a diagram showing that “2” is stored as the threshold value. The group creation unit 4910 is activated by the control unit 4916 and classifies data stored in the data storage unit 4902 into groups. Specifically, classification into groups is performed as follows. First, the matching word stored in the matching word storage unit 4908 and the article data stored in the data storage unit 4902 are compared for each article data, and the number of words matching the word included in the article data is determined. calculate. Next, when the number of matching words is equal to or larger than the threshold value stored in the threshold storage unit 4909, the article data is stored in the group storage unit 4912 as a group corresponding to the matching word. For example, the matching words stored in the matching word storage unit 4908 are eight words as shown in FIG. 57, and the threshold value is “2”.
And Then, since the data including at least two words among the eight words in the article data is the data of the article numbers “100”, “103”, and “104”, these three data are grouped into the same group. The information is stored in the group storage unit 4912. Further, the group creating unit 4910 deletes the same data as the data stored in the group storage unit 4912 from the data storage unit 4902.

The representative word creating section 4911 includes a control section 4916
And creates a representative word of the group stored in the group storage unit 4912. Specifically, a matching word corresponding to the group and the number of data of the group are created as representative words. For example, as described above, if the article numbers “100”, “103”, and “104” are in the same group, the eight matching words “news Matsushita Electric Power Consumption Power Half New TV Release” corresponding to that group ”And“ 3 data ”, and create“ News Matsushita Electric Power consumption half new TV release ... 3 data ”as a representative word.

The group storage unit 4912 is composed of a magnetic disk or a RAM, and stores data classified into groups by the group creation unit 4910 and representative words of the data. FIG. 59 shows the stored group data,
It is a figure showing the example of the typical word of the group. In the figure, the words underlined are article numbers “100” and “10”.
This is a representative word of a group consisting of three data of “3” and “104”.

[0129] The display unit 4913 is constituted by a display or the like.
A list of data stored in the group 02 and representative words of groups stored in the group storage unit 4912 is displayed. Display 49
13 creates a list of representative words by extracting all representative words stored in the group storage unit 4912,
indicate.

The display capability storage unit 4914 is constituted by a ROM or the like, and stores the display capability of the display unit 4913. Figure 60
Is the storage content of the display capability storage unit 4914, which indicates that the display unit 4913 has the capability to display 10 lines of character strings. The receiving unit 4915 includes a keyboard, a mouse, and the like, and receives instructions such as “classification display of data into groups”, “display of data of a classified group”, and “data display” from the operator.

The control section 4916 controls each section of the data search support device. Specifically, when receiving section 4915 receives an instruction of “classification of data into groups” from the operator,
The control unit 4916 activates the morphological analysis unit 4903, and when the morphological analysis ends, furthermore, the data comparison unit 4904
Start The control unit 4916 includes a data selection unit 4905
When the data selection is completed, the matching word extraction unit 49
07, and when a matching word is extracted, the group creation unit 4910 is further activated, and then the representative word creation unit 4
911 is started. In addition, among the data stored in the data storage unit 4902, there is data that has not yet been classified into a group, and the number of groups created is equal to or less than the number of displayable rows stored in the display capability storage unit 4914. In this case, the control unit 4916 again sends the data comparison unit 49
04, the matching word extraction unit 4907 and the like are activated, and the remaining data is classified into groups. On the other hand, if all the data has been classified into groups, or if the number of created groups exceeds the number of displayable lines, the display unit 491
Instruct 3 to display a list of representative words. After receiving the designation of one representative word from the list of representative words and receiving the instruction of “displaying a group of classified data”,
The control unit 4916 instructs the display unit 4913 to display the article data of the representative word group. When the instruction of “data display” is received, the display unit 4913 is instructed to display all data.

Next, the operation of the data search support device shown in FIG. 51 when classifying data into groups will be described with reference to the flowcharts in FIGS. 61 and 62. Upon receiving an instruction to classify data into groups (step S601), the morphological analysis unit 4903 performs morphological analysis of the stored data (step S602).
Next, the control unit 4916 clears the contents of the selection result storage unit 4906, the matched word extraction unit 4907, and the threshold value storage unit 4909 (step S603). Thereafter, the data comparison unit 4904 sequentially calculates the number of matching words between the two article data (step S604), and if the newly calculated number of matching words is larger than the number of matching words already stored (step S604). S605), data selection unit 490
5 updates the storage content of the selection result storage unit 4906 (step S606). The processing of steps S604 to S606 is performed for all combinations of two pieces of article data (step S607).

Next, a matching word is extracted by matching word extracting section 4907 (step S608), and a threshold value is set by matching word extracting section 4907 (step S6).
09), the group creation unit 4910
The data stored in 02 is classified into groups, and the representative word creating unit 4911 creates a representative word for each group (step S611).

In the above processing, as shown in FIG. 53, out of the eleven pieces of data stored in the data storage unit 4902, as shown in FIG.
It is assumed that three data “2” and “104” are classified into one group. Then, control unit 4916 determines that not all data is classified into groups (step S612), and the number of groups created is one, which exceeds the number of displayable digits “10”. If it is determined that there is no data (step S613), the process proceeds to step S603, and the remaining data that has not been classified into a group is subjected to processing of classification into a group (step S603).
-Step S614). FIG. 63 shows a group storage unit 491 when classification into groups is performed up to three groups.
FIG. 6 is a diagram showing the stored contents of No. 2; Further, the process is repeated (steps S603 to S611), and all data are classified into groups (step S61).
2) Or, if the number of groups created exceeds the number of displayable digits “10” (step S613), the display unit 49
13 extracts the representative words stored in the group storage unit 4912, creates and displays a list of representative words (step S614). FIG. 64 is a diagram illustrating an example of a list of representative words to be displayed. However, in this drawing, the representative words of the fifth and subsequent groups are omitted. Also, in step S613,
If the number of created groups exceeds the displayable digits,
Data that has not yet been classified into a group is classified into the last group, that is, the tenth group.

As described above, according to the data search support device of the present embodiment, even when a large amount of character data is stored, the data is classified into groups using the matching words of each data. Since a list of representative words indicating the group is created and displayed, the operator can easily search for desired data using the representative words displayed in the list. Also,
Since the displayed representative word is a matching word between the two data included in the group, it is possible to easily grasp the outline of the article content included in the group.

In the present embodiment, the matching word is determined using two pieces of article data.
In order to improve the processing speed, a word included in any one data can be set as a matching word. In this case, the data comparison unit 4904 becomes unnecessary. Data selection unit 490
5 selects arbitrary data from the data storage unit 4902. The matching word extraction unit 4907 sets a word in the article data of the selected data as a matching word. However, in this method, although the classification accuracy is reduced, the amount of calculation can be reduced.

Also, in the present embodiment, the morphological analysis unit 4
In step 903, the morphological analysis was performed when the instruction of “classification of data into groups” was issued. However, the present invention is not limited to this, and the morphological analysis is performed when the teletext receiving unit 4901 receives the character data. Is also good. Also, the matching word extraction unit 4907 sets the smaller one of “2” and the number of matching words stored in the data storage unit 4902 as the threshold value in the threshold storage unit 4909. However, this is not limited, and "3" or "4"
The smaller of the number of matching words may be set as the threshold. The threshold value plays a role of narrowing data to be included in the group as the threshold value is increased.

Although the representative word creating section 4911 creates a matching word corresponding to a group and the number of data of the group as a representative word, the present invention is not limited to this. An article number and article data (that is, one of the two data selected by the data selection unit 4905) may be used as a representative word. FIG. 65 is a diagram showing a state in which a list of representative words created in this way is displayed.

If the number of created groups exceeds the number of digits that can be displayed in step S613, data that has not yet been classified into a group is classified into the last group, that is, the tenth group. At that time, the representative word creation unit 4911 may set the representative words of the tenth group to, for example, “other”. Moreover, the above-described first to third embodiments.
The data search support device of the fourth embodiment is realized by a program, and is recorded on a recording medium such as a floppy disk and transferred, or transferred through a communication line, so that it can be easily executed by another independent computer system. Can be implemented.

[0140]

As described above, the present invention relates to a data search support device, which classifies a plurality of search result data into data storage means, and the stored data into groups. Classifying means, for each group classified by the classifying means, a representative word creating means for creating a representative word representing the group, and a display means for displaying a list of the representative words created by the representative word creating means. It can be configured as follows.

According to this configuration, when searching for data, the operator only has to select a representative word representing the desired data and search for the data from the group of the representative words.
There is an effect that the data search of the operator can be supported. Here, the classification means includes: a hierarchical data storage means storing a plurality of hierarchical data having a hierarchical relationship; and a data stored in the data storage means, the hierarchical data stored in the hierarchical data storage means. On the basis of,
And hierarchical data classifying means for classifying.

According to this configuration, data is classified based on hierarchical data classified in advance into layers.
The effect is that the operator can easily search for desired data.
Here, the hierarchical data storage means stores a thesaurus which is a dictionary indicating a hierarchical relationship between a higher concept and a lower concept of a word, and the hierarchical data classification means searches the thesaurus, and searches the data storage means. The superordinate concept extracting means for extracting, for each data, the superordinate words of the words included in the data stored in the data, and the extracted superconcept words are stored in the data storing means as one group of data. And a thesaurus classifying means for classifying the data into groups.

According to this configuration, the data is classified based on the thesaurus which is a dictionary indicating the relation between the superordinate concept and the subordinate concept of the word, so that the operator can easily search for desired data. The high-level concept extracting means includes a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storing means, and a thesaurus classification. Re-classification determination means for determining whether the number of groups classified by the means exceeds the read display capability,
When the reclassification determining unit determines that the number of the classified groups exceeds the display capability, the superordinate concept extracting unit extracts a word of a concept one level higher than the extracted superordinate word. And a re-classification control unit that controls the data to be classified into the data group based on the word of the concept one level higher extracted by the thesaurus classification unit.

According to this configuration, based on the thesaurus,
Since the data is classified so that the number of classified groups is within the display capability, there is an effect that the operator can easily search for desired data. Here, the superordinate concept extracting means includes:
A hierarchy designation accepting unit for accepting designation of a hierarchy of the thesaurus, and a designated superordinate concept extracting a word of a superordinate concept of the word included in the data from the thesaurus based on the hierarchy of the thesaurus accepted by the hierarchical designation accepting unit And an extracting unit.

According to this configuration, when classifying data based on the thesaurus, it is possible to arrange hierarchies of higher-level concepts of words included in data, and to classify data into groups that are easier to grasp. This has the effect.
Here, the designated superordinate concept extracting means may be configured to extract the superordinate concept words included in the hierarchy of the thesaurus accepted by the hierarchical designation receiving means.

According to this configuration, it is possible to specify the hierarchy of the thesaurus and extract words of a higher concept from the specified hierarchy. Therefore, even if data hierarchies are irregular, words of a higher concept are assigned to a specific hierarchy. There is an effect that they can be matched. Here, when the hierarchy of the thesaurus accepted by the hierarchy designation accepting unit is a hierarchy lower than a word included in the data, the hierarchical data classifying unit further assigns the hierarchy to the accepted hierarchy. A lower concept extracting unit configured to extract a word of a lower concept of the included word from the thesaurus, wherein the thesaurus classifying unit determines that the extracted word of the higher concept or lower concept is
It can be configured to classify the same data as one group.

According to this configuration, the data to be searched is
Even when the concept is lower than the hierarchy of the specified thesaurus, there is an effect that the data can be classified by extracting the lower concept of the data. Here, the hierarchical data classification unit includes a display capability storage unit that stores a display capability indicating the number of items that can be displayed, a display capability read unit that reads the display capability from the display capability storage unit, and the thesaurus classification. First re-classification judging means for judging whether the number of groups classified by the means exceeds the read display capability, and whether or not the number of groups classified by the thesaurus classifying means is equal to or less than a certain value A second re-classification determining means for determining the hierarchy, a designated hierarchy changing means for changing the hierarchy of the thesaurus received by the hierarchy specification receiving means one level up or one level down, and the first re-classification determining means When it is determined that the number of groups exceeds the display capability, the designated hierarchy changing unit changes the hierarchy to one level higher and extracts the higher concept. The extraction of the word of the superordinate concept by the column and the classification of the data stored in the data storage means into the groups by the thesaurus classification means are controlled, and the number of the groups is fixed by the second re-classification determination means. Is determined to be less than or equal to the value, the change to the next lower layer of the thesaurus by the designated hierarchy change unit, the extraction of the word of the lower concept by the lower concept extraction unit, and the data by the thesaurus classification unit Reclassification control means for controlling the classification of the data stored in the storage means into groups.

According to this configuration, when the number of classified groups exceeds the display capability, or when the number of classified groups is equal to or less than a certain value, the hierarchy of the designated thesaurus is moved up or down. Is changed, the display can be performed with an appropriate number of groups. Here, the data storage unit stores data composed of one or more attributes indicating a type of data and an attribute value that is data belonging to each attribute. Including an attribute designation receiving means for receiving designation of a plurality of attributes,
The high-level concept extracting means may be configured to search the thesaurus and extract, from the thesaurus, words of a high-level concept of attribute values belonging to one or more specified attributes.

According to this configuration, 1 indicating the type of data
Alternatively, since data composed of a plurality of attributes and attribute values that are data belonging to the respective attributes is classified based on the thesaurus, there is an effect that the operator can easily search for desired data. Here, the representative word creating unit may be configured to create a representative word for each group classified by the thesaurus classifying unit.

According to this configuration, since a representative word is created for each group classified using a thesaurus, the operator can easily search for desired data. here,
The hierarchical data storage means stores a table of contents composed of a plurality of titles having a hierarchical relationship, and the data storage means stores data related to the table of contents, and the hierarchical data classification means A data selection unit for selecting data stored in the data storage unit, a table of contents extraction unit for extracting a title of the table of contents related to the selected data; A table of contents classifying means for classifying the data selected by the data selection means into groups, and searching the table of contents and extracting a higher-ranking title related to the data selected by the data selection means Upper title extraction means, display capacity storage means for storing display capacity indicating the number of items that can be displayed, and reading the display capacity from the display capacity storage means. Display capability reading means for issuing, re-classification determining means for determining whether the number of groups classified by the table of contents classification means exceeds the read display capability, and re-classification determining means When it is determined that the number has exceeded the display capability, the upper-level title extracting means extracts a title one level higher than the extracted title, and the title classifying means extracts the one-level higher level title extracted by the table of contents classifying means. Reclassification control means for controlling the data to be classified into groups on the basis of the above, wherein the representative word creating means uses, for each group created by the table of contents classifying means, a representative word using a title corresponding to the group. Can be configured to create

According to this configuration, there is an effect that it is possible to easily search for data from a table of contents composed of a plurality of titles having a hierarchical relationship. Here, the hierarchical data storage means stores a gazetteer composed of a plurality of place names having a hierarchical relationship, and the data storage means stores data including place names, The classifying means compares a word included in the selected data with a place name in the gazetteer and a data select means for selecting data stored in the data storage means. A place name extracting means for extracting a place name of a dictionary, a place name classifying means for classifying the data stored in the data storage means into groups, with the data having the same extracted place name as one group,
An upper-level place name extracting means for searching the place name dictionary and extracting a place name higher than the extracted place name, a display capacity storage means for storing display capacity indicating the number of displayable items, and the display capacity storage A display capability reading unit that reads the display capability from the unit, a reclassification determination unit that determines whether the number of groups classified by the place name classification unit exceeds the read display capability, and the reclassification determination unit, When it is determined that the number of the classified groups exceeds the display capability, the upper place name extracting means extracts the place name one level higher than the extracted place name, and further extracts the place name higher than the extracted one place name. Reclassification control means for controlling to classify the data into groups based on place names, the representative word creation means, for each group created by the place name classification means, Using the place name corresponding to the loop can be configured to create a representative word.

According to this configuration, it is possible to easily search for data from a gazetteer composed of a plurality of place names having a hierarchical relationship. here,
The data storage unit stores data composed of a plurality of attributes indicating a type of data and having a hierarchical relationship and attribute values that are data belonging to the respective attributes. As a classification key for classifying the data stored in the data storage unit, an attribute selection unit that selects an attribute of the data stored in the data storage unit, and from the data stored in the data storage unit, A data classification unit that collects data having the same attribute value belonging to the attribute selected by the attribute selection unit and classifies the data into one group; and that the stored data is classified into one group by the data classification unit. Classification determining means for determining whether the images are classified into a plurality of groups, and the classification determining means determines that the images are classified into one group. The case, it is possible to add more subordinate attribute to the sort keys, configured to include a data classification control means for the classification into groups by the data classifying section.

According to this configuration, even when data is composed of a plurality of attributes having a hierarchical structure and attribute values belonging to each attribute, the data can be classified into groups. . Here, the data classifying means includes a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storing means, Re-classification judging means for judging whether the number of data included in one group exceeds the read display capability, and the number of data included in the one group classified by the classification judging device indicates the display capability. If it is determined that the number exceeds the threshold, a lower-level attribute is added to the classification key, and the data classification unit may be configured to include a re-classification control unit that controls the data to be classified into groups.

According to this configuration, even when data is composed of a plurality of attributes having a hierarchical structure and attribute values belonging to each attribute, the number of classified groups is set to be within the display capability. Since the data is classified, there is an effect that the operator can easily search for desired data. here,
The data classification means, as a classification key for classifying the extracted data, a classification key selection means for selecting the first character of the attribute value selected by the attribute selection means, and the extracted data, Based on the classification key selected by the classification key selection unit, a character classification unit that classifies the data into groups, and the character classification unit classifies the classified data into one group or a plurality of groups. If the character classification determining means determines that the characters have been classified into one group, the next character is further added to the classification key, and the character classification means And character classification control means for controlling to perform the classification.

According to this configuration, when data composed of a plurality of attribute values having a hierarchical structure is a place name, such as a gazetteer, the attribute of a higher hierarchy such as a prefecture name or a city name is used. Even if the value is exactly the same place name data, the data is classified using the first character of the attribute value of the lowest attribute including the street name and the street address, so that the data is surely classified into a plurality of groups. There is an effect that can be.

Here, the data storage means divides a place name into a plurality of hierarchically arranged district names, and stores a place name dictionary having attributes corresponding to the divided plural district names. The attribute selecting means selects an attribute of a gazetteer as a classification key for classifying the place name stored in the data storage means, and the data classification means stores the place name stored in the data storage means as the attribute. Using the attribute selected by the selection means as a classification key, the data is classified into groups by the data classification means, and the classification determination means determines whether the classified place name is classified into one group or a plurality of groups. The data classification control unit, when the classification determination unit is determined to be classified into one group, to add a further lower attribute to the classification key, It can be configured to control so as to classify the groups by chromatography data classification means.

According to this configuration, when data composed of a plurality of attribute values having a hierarchical structure is a place name, such as a gazetteer, the data can be classified into groups. . Here, the data classifying means is a classification key selecting means for selecting, as a classification key for classifying the extracted data, a first character of an attribute value of an attribute of a lowest hierarchy of the gazetteer; A character classification unit that classifies the extracted data into groups based on the classification key selected by the classification key selection unit; and whether the data classified by the character classification unit is classified into one group, A character classification determining unit that determines whether the character is classified into a plurality of groups; and if the character classification determining unit determines that the character is classified into one group, the next one character is further added to the classification key, And character classification control means for controlling the classification into groups by the classification means.

According to this configuration, when data composed of a plurality of attribute values having a hierarchical structure is a place name, such as a gazetteer, an attribute of a higher hierarchy such as a prefecture name or a city name is used. Even if the value is exactly the same place name data, the data is classified using the first character of the attribute value of the lowest attribute including the street name and the street address, so that the data is surely classified into a plurality of groups. There is an effect that can be.

Here, the representative word creating means can be configured to create a representative word for each group classified by the hierarchical data classifying means. According to this configuration, even when data is composed of a plurality of attributes having a hierarchical structure and attribute values belonging to each attribute, a representative word is created for each classified group. There is an effect that desired data can be easily searched.

Here, the data storage means stores data composed of one or more attributes indicating the type of data and attribute values which are data belonging to the respective attributes. The data stored in the data storage means is replaced with data having the same attribute value belonging to an attribute.
It can be configured to include an attribute classifying means for classifying into groups.

According to this configuration, 1 indicating the type of data
Alternatively, even in the case of data including a plurality of attributes and attribute values which are data belonging to the respective attributes, there is an effect that the data can be classified into groups. Here, the attribute of the data stored in the data storage means is constituted by a character, a numerical value or a date and time including at least one attribute of year, month, week, day, day of the week, and time. May be configured to classify data stored in the data storage unit into data of the same attribute value belonging to a character, numerical value, or date and time attribute.

According to this configuration, 1 indicating the type of data
Or, in the case of data composed of a plurality of attributes and attribute values that are data belonging to each attribute, even if these attributes are numerical values, characters, and date and time, the data is expressed using numerical values, characters, and date and time. Since the classification is performed, there is an effect that the classification into the group that the operator can easily grasp can be realized. Here, the attribute of the data stored in the data storage unit is configured by date and time, the classification unit stores a plurality of classification methods, and the attribute classification unit specifies the attribute from the plurality of classification methods. Classification method designating means for designating one of the classification methods, and the data stored in the data storage means are classified into groups by year, month, day, and classified into groups by year, month, year, month, Group by week, or year,
Classifying means for classifying into groups at the beginning, middle, and end of the month may be included.

According to this configuration, in the case of data having a date and time attribute, a plurality of classification methods can be designated, so that there is an effect that the operator can classify into a desired group.
Here, the attribute classifying unit includes a display capability storing unit that stores a display capability indicating the number of items that can be displayed, a display capability reading unit that reads the display capability from the display capability storing unit, Display determination means for calculating whether or not the number of groups exceeds the read display capability, and a display determination means for determining whether the number of groups exceeds the read display capability. In this case, it is possible to include a classification repetition control unit that specifies another classification method by the classification method specification unit and controls the classification execution unit to perform classification into groups.

According to this configuration, in the case of data having a date and time attribute, the method of grouping can be changed according to the display capability, and the data can be classified into groups that are easy to see. Here, the classifying unit includes an attribute designation receiving unit that receives designation of one or a plurality of attributes from the data stored in the data storage unit. Alternatively, it may be configured such that data having the same attribute value belonging to a plurality of attributes is classified into one group.

According to this configuration, 1 indicating the type of data
Or, in the case of data composed of a plurality of attributes and attribute values that are data belonging to the respective attributes, designating a specific attribute and classifying data having the same attribute value belonging to the specified attribute into a group. There is an effect that can be.
Here, the attribute of the data stored in the data storage means is composed of a place name, and the attribute classification means includes:
The data stored in the data storage means may be configured to classify data having the same attribute value belonging to a place name into one group.

According to this configuration, 1 indicating the type of data
Alternatively, in the case of data composed of a plurality of attributes and attribute values that are data belonging to the respective attributes, even when the attribute is composed of a place name, data having the same attribute value belonging to the place name is classified into a group. There is an effect that can be. Here, the attribute of the data stored in the data storage means is constituted by a place name including a specific word indicating a plurality of districts arranged in a hierarchy, and the attribute classification means includes: From the data stored by
A place name extracting means for extracting names of a plurality of hierarchically arranged districts based on the specific words indicating a plurality of hierarchically arranged districts; Based on the name of the district, it can be configured to include hierarchical district classification means for classifying the data stored in the data storage means into groups.

According to this configuration, when the data is a place name, “city”, “road,“ fu ”,“ prefecture ”,
There is an effect that data can be classified into groups using words such as “city”, “ward”, “town”, and “village”.
Here, the data storage unit stores a plurality of items including at least one sentence, and the classification unit includes a word decomposition unit configured to decompose a word from the plurality of items stored in the data storage unit. It can be configured to include word storage means for storing a plurality of words decomposed by the word decomposing means and the items, and item classification means for classifying the items having the same word into the same group.

According to this configuration, even in the case of data such as newspaper articles, there is an effect that words can be cut out from the sentences of the articles and the articles can be classified into groups based on the words. Here, the item classification means includes a word selection means for selecting one or a plurality of words from the word storage means, a threshold value storage means for storing a threshold value, and the selected item for each of the items. One or more words are compared with the words stored in the word storage means, and the items in which the number of matching words is equal to or greater than the threshold value read from the threshold value storage means are classified into one group. And a threshold classifying means for classifying.

According to this configuration, in the case of data such as newspaper articles, there is an effect that similar articles can be classified into the same group by using a threshold value indicating the degree of agreement between articles. Here, the data selection means includes:
It can be configured to select all matching ones of one or more words decomposed from two or more items.

According to this configuration, in the case of data such as newspaper articles, there is an effect that articles can be classified into groups based on words cut out from two specific articles. Here, the data selection means may be configured to select one or a plurality of words decomposed from one item.

According to this configuration, in the case of data such as newspaper articles, there is an effect that articles can be classified into groups based on words cut out from one specific article. Here, the data selection unit may be configured to update a threshold value stored in the threshold value storage unit.

According to this configuration, in the case of data such as newspaper articles, there is an effect that the degree of similarity of articles can be changed by changing the threshold value. Here, the threshold value classification unit compares, for each item, the selected one or more words with the words stored in the word storage unit, and determines the number of matching words by the threshold. Items that are equal to or greater than the threshold value read from the value storage means
Sub-threshold classifying means for classifying into two groups, an item removing means for removing the classified items from the word storage means, and one or more by the data selecting means until all the items have been classified. And a repetition control unit that controls the sub-threshold classification unit to classify the words into groups and the item removal unit to control the removal of items.

According to this configuration, there is an effect that all articles can be classified using the threshold. Here, the classifying means may store the stored data in a first
It can be configured to include a primary classification unit for classifying the data into groups, and a secondary classification unit for classifying the data into a second group based on the first group classified by the primary classification unit. .

According to this configuration, after the data is classified into a plurality of groups, these groups can be further classified into another group, so that the operator can easily search. Here, the secondary classification means includes a display capacity storage means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storage means, A display capability classifying unit configured to classify data included in the first group into a second group based on the read display capability for each of the first groups classified by the classifying unit; May be configured to create a representative word representing the second group.

According to this configuration, after the data is classified into a plurality of groups, when these groups are further classified into another group, the data can be classified according to the display capability, so that the operator can easily search. It has the effect of becoming. Here, the secondary classification means receives a display ability storage means for storing a display ability indicating the number of items that can be displayed, a display ability change accepting means for accepting a change in display ability, and a display ability change accepting means. Display capacity updating means for storing the obtained display capacity in the display capacity storage means.

According to this configuration, according to this configuration, after data is classified into a plurality of groups, when these groups are further classified into another group, the display capability can be changed and classified. There is an effect that the operator can easily search. Here, the secondary classification means includes a number specification means for specifying the number, and a number classification means for further classifying the first group classified by the primary classification means into a second group for each of the specified numbers. The representative word creating means may be configured to create a representative word representing the second group.

According to this configuration, the initially classified group can be further classified into the specified number of groups. For example, the groups can be classified and displayed according to the number of items that can be displayed on the display device. Has the effect of making it easier to search. Here, the secondary classification means includes a duplication number designating means for designating a duplication number, and the last data in the first group corresponding to the designated duplication number to another one adjacent to the first group. It is possible to include a duplication classifying means for duplicating and copying at the head of the first group.

According to this configuration, even when the number of data included in the group is small, the possibility that required data is included in the selected group is increased and the operator can easily search. is there. Here, the secondary classification means includes a display capacity storage means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storage means, Display group selecting means for selecting the first groups for the number of display capacities read out from the first groups classified by the classifying means; and a specific one of the plurality of first groups selected by the display group selecting means. A second group selecting means for selecting one group to be a second group;
From the first group classified by the primary classification means,
The plurality of first groups selected by the display group selecting unit
Data included in a plurality of first groups other than the group and data that have not been classified are classified into the second group, and the display group selection is performed from the first group classified by the primary classification unit. A second group classifying unit that eliminates a plurality of first groups other than the plurality of first groups selected by the unit, wherein the representative word creating unit sets a representative word of the second group to “other”. The representative word creating means is created using a word meaning
It can be configured to create a representative word representing the first group and the second group.

According to this configuration, classification can be made according to the number of items that can be displayed on the display device, and a group that is larger than the number of items that can be displayed on the display device and cannot be displayed can be classified into other groups. Can be displayed collectively on one display surface, and the operator can easily search. Here, the classifying unit includes a group classifying unit that classifies the stored data into groups, a reclassification determining unit that determines whether to perform reclassification, and a classifying unit that determines that the data is to be reclassified. Reclassification control means for classifying into groups.

According to this configuration, after the data has been classified, it can be determined whether or not the data is to be classified again, and the data can be classified again in accordance with the determination, so that the operator can easily search for the desired data. . Here, the re-classification determining means includes a display capacity storing means for storing a display capacity indicating the number of items that can be displayed, a display capacity reading means for reading the display capacity from the display capacity storing means, and Display determination means for determining whether the number of groups read exceeds the read display capability, and re-classification control for performing classification by the group classification means when the display determination means determines that display is not possible. Means.

According to this configuration, data classification is repeated until the number of classified groups falls within the display capacity, so that the operator can easily search for desired data. Here, according to this configuration, the re-classification determination unit determines whether the classified data is classified into one group or a plurality of groups, and only when the data is classified into one group. , Can be configured to determine that reclassification is performed.

According to this configuration, when the data is classified into one group, the data can be further classified into a plurality of groups, so that an easy-to-understand classified group can be created, and the operator can easily search for desired data. effective. Here, the data storage unit stores data composed of a plurality of attributes indicating a type of data and an attribute value that is data belonging to each attribute. From the data stored by
An attribute designation receiving unit for receiving designation of a plurality of attributes; and an attribute classifying unit for classifying data stored in the data storage unit into data of the same attribute value belonging to the attribute whose designation has been accepted, into one group. And the re-classification unit may be configured to classify the attribute in place of another attribute.

According to this configuration, if the number of groups classified first is inappropriate for displaying the list, the group is
Since classification can be performed using other attributes, there is an effect that the operator can easily search for desired data. Here, the classification unit stores a plurality of classification methods, and the re-classification unit is configured to classify one classification method performed by the classification unit in place of another classification method. Can be.

According to this configuration, if the number of groups classified first is inappropriate for displaying the list, the group is re-displayed.
Since classification can be performed in place of another classification method, there is an effect that the operator can easily search for desired data. Here, the data storage means stores data composed of a plurality of attributes indicating the type of data and having a hierarchical relationship, and attribute values which are data belonging to the respective attributes. Includes attribute designation receiving means for receiving designation of one or more attributes from the data stored in the data storage means, and converts the data stored in the data storage means to the attribute for which the designation has been received. An attribute classifying unit that classifies data belonging to the same attribute value into one group is included, and the reclassification unit is configured to classify the attribute and an attribute of a lower hierarchy of the attribute into a group as a classification key. be able to.

According to this configuration, if the number of groups classified first is inappropriate for displaying a list, the group is
Since another attribute can be added to the classification key for classification, the operator can easily search for desired data. Here, the classification unit includes a display capability storage unit that stores a display capability indicating the number of items that can be displayed, and a display capability read unit that reads the display capability from the display capability storage unit, and the reclassification determination unit. For each group classified by the group classification means, a representative word is created and displayed by the representative word creation and display means, which creates a representative word representing the group, and displays a list of created representative words. A representative word receiving unit that receives designation of one representative word from a list of representative words that are included, wherein the re-classification determining unit determines whether the read display capability and the group of the representative words received by the representative word receiving unit are included. By comparing the number of data belonging to, to determine whether to re-classify, the re-classification means, when it is determined by the re-classification determination means to re-classify, the representative word accepting means The data belonging to the group of representative words that have been re-classified are further re-classified into groups, and when the re-classification is performed by the re-classification unit, the representative word creating unit represents a representative word that represents the re-classified group And the display means may be configured to display a list of representative words representing the reclassified group when the reclassification is performed by the reclassification means.

According to this configuration, the re-classification is performed only when it is determined that the selected group is to be re-classified, so that the amount of classification processing can be reduced. Here, the data search support device further includes a classification instruction receiving unit that receives an instruction to start data classification by the operator, wherein the classification unit receives the instruction to start data classification from the operator. And the stored data can be classified into groups.

According to this configuration, there is an effect that classification can be started based on an instruction from the operator. Here, the classifying unit includes a classifying data creating unit that extracts a part of each data necessary for the classifying from the data storage unit and creates classifying data, wherein the classifying unit is based on the created classifying data. Then, the data stored in the data storage means can be configured to be classified.

According to this configuration, since data can be classified using only the minimum data required for classification, there is an effect that the work area required for classification can be reduced.
Here, the classification unit may include a classification method reception unit that receives designation of a classification method, and the classification unit may be configured to classify the data according to the classification method received by the classification method reception unit. it can.

According to this configuration, there is an effect that data can be classified by the specified classification method. The data storage unit stores data composed of a plurality of attributes indicating a type of data and an attribute value that is data belonging to each attribute, and the classification unit includes a predetermined classification method and an attribute. And an attribute classifying method accepting unit for accepting designation of one combination from among the combinations, and the classifying unit classifies the data according to the combination of the classifying method and the attribute accepted by the attribute classifying method accepting unit. It can be configured as follows.

According to this configuration, since the classification method and the attribute to be used can be designated by one operation, the operation of the searcher can be reduced. Here, the data storage unit stores data composed of one or more attributes indicating a type of data and an attribute value that is data belonging to each attribute. An attribute value representative word creating unit that creates a representative word using an attribute value for each group classified by the classifying unit may be included.

According to this configuration, 1 indicating the type of data
Or, in the case of data composed of a plurality of attributes and attribute values that are data belonging to the respective attributes, a representative word can be created using the attribute value, and the operator selects a group based on the representative word and searches for data. There is an effect that it can be made easier. Here, the attribute value representative word creating means includes:
A representative word attribute designating unit for designating an attribute of data; wherein the representative word creating unit creates a representative word representing the group by using an attribute value belonging to the attribute designated by the representative word attribute designating unit; It can be configured as follows.

According to this configuration, since a representative word can be created using the designated attribute value, there is an effect that a representative word desired by the operator can be created. Here, the representative word creating unit includes a data number calculating unit that calculates the number of data belonging to the classified group, and the representative word creating unit creates a representative word including the calculated number of data. It can be configured as follows.

According to this configuration, 1 indicating the type of data
Or, in the case of data composed of a plurality of attributes and attribute values belonging to the respective attributes, the attribute value and the number of data included in the group can be displayed as a representative word, making it easier to search for data. There is an effect that can be. Here, the number-of-data calculating means includes a number-of-data determining means for determining that the number of data calculated by the number-of-data calculating means is 1. For the group whose number is determined to be 1, a representative word can be created using the attribute value.

According to this configuration, when the number of data is 1, a representative word is created using the attribute value, so that an easy-to-understand representative word can be created, and the data search can be made easier. This has the effect. Here, the classifying unit includes an attribute designation receiving unit that receives designation of one or more attributes from the data stored in the data storage unit, and the attribute value representative word creating unit includes: A representative word can be created by using all or a part of the character string constituting the attribute value of.

According to this configuration, since the representative word is created using the attribute value, an easy-to-understand representative word can be created, and the data search can be more easily performed. Here, the representative word creating unit may be a character string that is an attribute value of head data of the group classified by the classification unit, a character string that is an attribute value of end data of the group, or an attribute value of head data of the group. And a character string which is an attribute value of the end data of the group.

According to this configuration, the range of the group can be recognized from the representative words created using the attribute values, and the data can be more easily searched.
Here, the representative word creating unit may be configured to create a representative word using a character portion common to a character string that is an attribute value of a plurality of data included in the group classified by the classifying unit. it can.

According to this configuration, the data belonging to the group can be estimated by the representative words, and the data can be more easily searched. Here, the attribute value representative word creating means may be configured to create a representative word using a minimum value, a maximum value, a minimum value and a maximum value, or an average value of the attribute values. According to this configuration, since the range and contents of the data belonging to the group can be known from the representative words, there is an effect that the data search can be more easily performed.

Here, the attribute is a date and time including at least one of the following attributes: year, month, week, day, day of the week, and time. The attribute value representative word creating means uses the attribute date and time to represent the attribute. It can be configured to create words. According to this configuration, if the data includes one or more attributes indicating the type of data and attribute values that are data belonging to the respective attributes, and the data has a date and time attribute, the date and time are set. Since it is possible to create and display a representative word by using it, there is an effect that the search can be made easier.

Here, the attribute value representative word creating means may include an attribute value of the latest attribute value having the attribute of the date and time belonging to the classified group, and an attribute of the latest date and time belonging to the classified group. The oldest date and time, which is the oldest attribute value among the attribute values having, or the latest date and time and the oldest date and time, may be used to create a representative word.

According to this configuration, 1 indicating the type of data
Or, when the data is composed of a plurality of attributes and attribute values that are data belonging to the respective attributes, and the data has a date and time attribute, the representative word is represented using the oldest date and the latest date and time. Since it is created, there is an effect that the search based on the date and time of the data can be made easier.

Here, the representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, and the attribute value representative word creating means includes: It can be configured to create a representative word using the number of data obtained. According to this configuration, since the date and time and the number of data can be known by the representative words, the contents of the data can be estimated and the data can be easily searched.

Here, the attribute value representative word creating means may be configured to create a representative word for each group classified by the classifying means using a date and time common to the group. According to this configuration, the groups are classified for each date and time, and there is an effect that data search becomes easier.

Here, the representative word generating means includes a serial number generating means for generating a serial number for each group classified by the classifying means, and the representative word generating means uses the generated serial number. To create a representative word. According to this configuration, it is possible to specify the data by the serial number, and there is an effect that the operator can select the data with less operation than the specification of the up and down cursors.

Here, the data storage means stores a plurality of items including at least one sentence, and the classifying means stores the plurality of items stored in the data storage means in a word for decomposing a word. The representative word creation method, comprising: a decomposing unit; a word storage unit that stores a plurality of words decomposed by the word decomposing unit and the item; and an item classifying unit that classifies the items having the same word into the same group. The means may be configured to create a representative word using the words stored in the word storage means.

According to this configuration, even in the case of data such as a newspaper article, words can be cut out from the text of the article and the data can be classified into groups based on the words. Since it can be a representative word, there is an effect that the search can be made easier. Here, the representative word creating unit includes a data number calculating unit that calculates the number of data belonging to the classified group, and the representative word creating unit calculates the number of data that is stored in the word storage unit and the calculated number of data. A representative word can be created using the number of data items.

According to this configuration, even in the case of data such as a newspaper article, words can be cut out from the text of the article, and the data can be classified into groups based on the words. Since the representative word can be used by using the number of data, there is an effect that the search can be made easier. Here, the representative word creating unit may be configured to create a representative word using the words and the items stored in the word storage unit.

According to this configuration, even in the case of data such as an article in a newspaper, the word and the content of the article can be used as a representative word, so that the search can be further facilitated. effective. Here, the data storage means stores data composed of a plurality of attributes indicating the type of data and having a hierarchical relationship, and attribute values which are data belonging to the respective attributes. Means for selecting an attribute of the data stored in the data storage means as a classification key for classifying the data stored in the data storage means; and storing the data in the data storage means. From the data,
A data classification unit that collects data having the same attribute value belonging to the attribute selected by the attribute selection unit and classifies the data into one group; and whether the stored data is classified into one group by the data classification unit. A classification determining means for determining whether the data is classified into a plurality of groups; and, when the classification determining means determines that the data is classified into one group, further adding a lower-order attribute to the classification key; And data classification control means for performing control so as to classify the data into groups according to the following. The representative word creation means includes an attribute of an upper-level attribute common to data included in the group classified by the data classification control means. It can be configured to create a representative word using the value.

According to this configuration, even when data is composed of a plurality of attributes having a hierarchical structure and attribute values belonging to each attribute, the data can be classified into groups and included in the classified groups. There is an effect that a representative word can be created using a common attribute for the data to be searched, and the search can be made easier. Here, the data storage means divides the place name into a plurality of hierarchically structured district names,
A gazetteer having an attribute corresponding to a plurality of divided district names is stored, and the attribute selecting means includes an attribute of the gazetteer as a classification key for classifying the place name stored in the data storage means. The data classification means, the place name stored in the data storage means,
Using the attribute selected by the attribute selecting means as a classification key, the data is classified into groups, and the classification determining means classifies the place names classified by the data classification means into one group or into a plurality of groups. The data classification control unit determines whether the data has been classified into one group by the classification determination unit.
A lower-level attribute is added to the classification key, and the data is classified by the data classification unit into a group. The representative word creation unit is configured by the data classification control unit to generate a higher-order attribute common to data included in the classified group. A representative word can be created using the attribute value of the district name of the hierarchy.

According to this configuration, even when data composed of a plurality of attributes having a hierarchical structure and attribute values belonging to each attribute is a gazetteer, the data can be classified into groups, and the data can be classified. There is an effect that a representative word can be created using a common attribute for data included in the group, and a search can be made easier. Here, the data search support device includes, instead of the data storage unit, a search unit that searches for data from a storage medium that records a plurality of search target data, and the classification unit includes the searched data. Can be configured to be classified into groups.

According to this configuration, when searching for data from a storage medium storing a plurality of data to be searched, the operator searches for desired data and selects a representative word representing the desired data. Then, data may be searched from the group of the representative words, and there is an effect that the data search of the operator can be supported. Further, the present invention is a data search support method used in a data search support device provided with a data storage means for storing a plurality of search result data, wherein a classification step of classifying the stored data into groups And, for each group classified by the classification step, a representative word creation step of creating a representative word representing the group, and a display step of displaying a list of the representative words created by the representative word creation step. Can be configured.

By using this method, when searching for data, the operator only has to select a representative word representing the desired data and search the data from the group of the representative words. There is an effect that search can be supported. Further, the present invention is a computer-readable recording medium that records a data search support program used in a computer including a data storage unit that stores a plurality of pieces of search result data, and stores the data. A classification step for classifying into groups;
For each group classified by the classification step, a representative word creating step of creating a representative word representing the group,
And a display step of displaying a list of the representative words created by the representative word creating step.

When this program is executed by a computer, when searching for data, the operator only has to select a representative word representing the desired data and search the data from the group of the representative words. This has the effect of assisting the user in retrieving data. The present invention is also a data search support device, which stores data storage means for storing a plurality of pieces of search result data, and a thesaurus which is a dictionary indicating a hierarchical relationship between a superordinate concept and a subordinate concept of a word. A hierarchical data storage unit, a high-level concept extraction unit that searches the thesaurus, and extracts, for each data, a high-level concept word of a word included in the data stored in the data storage unit; A thesaurus classifying unit that classifies data stored in the data storage unit into groups, with data having the same word as one group, a display capability storage unit storing display capability indicating the number of displayable items, A display capability reading unit that reads the display capability from the display capability storage unit; and the display capability that the number of groups classified by the thesaurus classification unit is the read display capability. Or a reclassification judging means for judging whether excess,
When the reclassification determining unit determines that the number of the classified groups exceeds the display capability, the superordinate concept extracting unit extracts a word of a concept one level higher than the extracted superordinate word. And a re-classification control unit that controls the data to be classified into groups of the data based on the words of the concept one level higher extracted by the thesaurus classification unit, and for each of the classified groups, It can be configured to include a representative word creating unit that creates a representative representative word, and a display unit that displays a list of the representative words created by the representative word creating unit.

According to this configuration, data is classified based on a thesaurus which is a dictionary indicating a relationship between a superordinate concept and a subordinate concept of a word, and the data is classified so that the number of classified groups is within the display capability. Therefore, there is an effect that the operator can easily search for desired data. The present invention also provides a data search support device, which searches for data of a search result including a plurality of attributes indicating the type of data and having a hierarchical relationship and attribute values that are data belonging to the respective attributes. A plurality of data storage means; an attribute selection means for selecting an attribute of data stored in the data storage means as a classification key for classifying the data stored in the data storage means; Data classification means for collecting data having the same attribute value belonging to the attribute selected by the attribute selection means from the data stored in the storage means and classifying them into one group, and display capacity indicating the number of displayable items. A display capability reading unit that reads the display capability from the display capability storage unit, and a display capability reading unit that reads the display capability from the display capability storage unit. That data was either classified into one group, the first classification judging means for determining whether classified into a plurality of groups,
A second classification determining unit that determines whether the number of groups classified by the data classification unit exceeds the read display capability; and a case in which the first classification determining unit determines that the data is classified into one group. Adding a lower-order attribute to the classification key, controlling the data classification means to classify the data into groups, and determining the number of groups classified by the second classification determination means exceeding the display capability. If it is determined that the classification key is changed, the classification key is changed to a higher-level attribute, and the data classification control unit controls the data classification unit to classify the data into groups. And a display means for displaying a list of the representative words created by the representative word creating means. Can.

According to this configuration, even when data is composed of a plurality of attributes having a hierarchical structure and attribute values belonging to the respective attributes, the data can be classified into groups and can be classified. Data is classified so that the number of groups falls within the display capacity, and the data is further classified so that the number of classified groups becomes a certain value or more.
The effect is that the operator can easily search for desired data.

[Brief description of the drawings]

FIG. 1 is a block diagram of a data search support device according to a first embodiment.

FIG. 2 is a diagram illustrating an example of data stored in a data storage unit of the data search support device illustrated in FIG. 1;

FIG. 3 is a diagram showing a screen for accepting an input in the data search support device shown in FIG. 1;

FIG. 4 is a diagram illustrating an example of a thesaurus stored in a thesaurus storage unit of the data search support device illustrated in FIG. 1;

FIG. 5 is a diagram expressing a relationship between words in the thesaurus shown in FIG. 4 in a tree structure.

FIG. 6 is a diagram illustrating storage contents of a group storage unit of the data search support device illustrated in FIG. 1;

FIG. 7 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 8 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 9 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 10 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 11 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 12 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 13 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 14 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 15 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 16 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 17 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 18 is a diagram illustrating storage contents of a group storage unit illustrated in FIG. 6;

FIG. 19 is a diagram illustrating a screen displayed on a display unit of the data search support device illustrated in FIG. 1;

FIG. 20 is a diagram illustrating an example of a list of representative words created by the classification method “classification using a thesaurus” displayed on the display unit of the data search support device illustrated in FIG. 1;

FIG. 21 is a diagram illustrating an example of a list of representative words created by the classification method “Classification by Japanese syllabary” displayed on the display unit illustrated in FIG. 1;

FIG. 22 is a diagram illustrating an example of a list of representative words created by the classification method “classification by numerical values” displayed on the display unit illustrated in FIG. 1;

FIG. 23 is a view showing a list of dish names of nine pieces of dish data belonging to the selected representative word group displayed on the display unit shown in FIG. 1;

FIG. 24 is a diagram illustrating storage contents of a display capability storage unit of the data search support device illustrated in FIG. 1;

FIG. 25 is a flowchart showing an operation when a classification method “classification using a thesaurus” is performed in the data search support device shown in FIG. 1;

FIG. 26 is a diagram illustrating an example of a representative word created by a representative word creating unit of the data search support device illustrated in FIG. 1;

FIG. 27 is a flowchart showing an operation in a case where a classification method “classification by Japanese syllabary” is performed in the data search support device shown in FIG. 1;

FIG. 28 is a diagram illustrating an example of a representative word created by a representative word creating unit of the data search support device illustrated in FIG. 1;

FIG. 29 is a flowchart showing an operation in a case where a classification method “classification by numerical values” is performed in the data search support device shown in FIG. 1;

FIG. 30 is a diagram illustrating an example of a representative word created by a representative word creating unit of the data search support device illustrated in FIG. 1;

FIG. 31 is a diagram illustrating an example of classification information stored in a classification information storage unit of the data search support device illustrated in FIG. 1;

FIG. 32 is a diagram illustrating another example of classification performed by the numerical classification unit of the data search support device illustrated in FIG. 1;

FIG. 33 is a diagram illustrating an example of another representative word created by the representative word creating unit of the data search support device illustrated in FIG. 1;

FIG. 34 is a diagram illustrating an example of another representative word created by the representative word creating unit illustrated in FIG. 1;

FIG. 35 is a block diagram of a data search support device according to the second embodiment.

FIG. 36 is a diagram illustrating an example of data stored in a data storage unit of the data search support device illustrated in FIG. 35;

FIG. 37 is a diagram illustrating a search result of a search unit of the data search support device illustrated in FIG. 35;

FIG. 38 is a diagram illustrating a classification example performed by a classification unit of the data search support device illustrated in FIG. 35;

FIG. 39 is a diagram illustrating an example of a representative word created by a representative word creating unit of the data search support device illustrated in FIG. 35;

FIG. 40 is a diagram illustrating an example of a list of representative words displayed on the display unit of the data search support device illustrated in FIG. 35;

FIG. 41 is a diagram showing an example of place name data belonging to a group of displayed representative words in the data search support device shown in FIG. 35;

FIG. 42 is a diagram illustrating storage contents of a display capability storage unit of the data search support device illustrated in FIG. 35;

FIG. 43 is a flowchart showing an operation of the data search support device shown in FIG. 35;

FIG. 44 is a block diagram of a data search support device according to the third embodiment.

FIG. 45 is a diagram illustrating an example of data stored in a schedule data storage unit of the data search support device illustrated in FIG. 44;

FIG. 46 is a diagram illustrating storage contents of a display capability storage unit of the data search support device illustrated in FIG. 44;

FIG. 47 is a diagram illustrating storage contents of a group storage unit of the data search support device illustrated in FIG. 44;

FIG. 48 is a diagram illustrating storage contents of a group storage unit of the data search support device illustrated in FIG. 44;

FIG. 49 is a diagram illustrating an example of a list of representative words displayed on the display unit of the data search support device illustrated in FIG. 44;

FIG. 50 is a flowchart showing an operation of the data search support device shown in FIG. 44;

FIG. 51 is a block diagram of a data search support device according to a fourth embodiment.

FIG. 52 is a diagram illustrating an example of data stored in a data storage unit of the data search support device illustrated in FIG. 51;

FIG. 53 is a diagram illustrating a morphological analysis result of data performed by the morphological analysis unit of the data search support device illustrated in FIG. 51;

FIG. 54 is a diagram illustrating storage contents of a selection result storage unit of the data search support device illustrated in FIG. 51;

FIG. 55 is a diagram showing storage contents of a selection result storage unit of the data search support device shown in FIG. 51;

FIG. 56 is a diagram showing storage contents of a selection result storage unit of the data search support device shown in FIG. 51.

FIG. 57 is a diagram showing storage contents of a matching word storage unit of the data search support device shown in FIG. 51;

FIG. 58 is a diagram showing storage contents of a threshold value storage unit of the data search support device shown in FIG. 51;

FIG. 59 is a diagram showing storage contents of a group storage unit of the data search support device shown in FIG. 51;

FIG. 60 is a diagram illustrating storage contents of a display capability storage unit of the data search support device illustrated in FIG. 51;

FIG. 61 is a flowchart showing an operation of the data search support device shown in FIG. 51.

FIG. 62 is a continuation of the flowchart in FIG. 61;

FIG. 63 is a diagram showing storage contents of a group storage unit of the data search support device shown in FIG. 51;

FIG. 64 is a diagram showing an example of a list of representative words displayed on the display unit of the data search support device shown in FIG. 51.

FIG. 65 is a diagram showing another example of a list of representative words displayed on the display unit of the data search support device shown in FIG. 51.

FIG. 66 is a diagram showing a screen displayed on a conventional electronic book player.

[Explanation of symbols]

 101 data storage unit 102 reception unit 103 attribute specification unit 104 classification method specification unit 105 thesaurus storage unit 106 thesaurus search unit 107 classification unit 108 group storage unit 109 representative word creation unit 110 display unit 111 display capability storage unit 112 control unit 1071 thesaurus classification Unit 1071 Thesaurus classifying unit 1071 Thesaurus classifying unit 1072 Sound classifying unit 1073 Numerical classifying unit 1073 Numerical classifying unit 3301 Data storage unit 3302 Search unit 3303 Search data storage unit 3304 Classification unit 3305 Representative word creation unit 3306 Display unit 3307 Display capability Storage unit 3308 Receiving unit 3309 Control unit 4201 Schedule storage unit 4202 Display capability storage unit 4203 Classification unit 4204 Group storage unit 4205 Representative word creation unit 4206 Display unit 4207 Reception unit 4901 Teletext reception unit 4902 Data storage unit 4903 Morphological analysis unit 4904 Data comparison unit 4905 Data selection unit 4906 Selection result storage unit 4907 Matched word extraction unit 4908 Matched word storage unit 4909 Threshold storage unit 4910 Group creation unit 4911 Representative Word creation unit 4912 group storage unit 4913 display unit 4914 display capability storage unit 4915 reception unit 4916 control unit

Claims (71)

[Claims] 1. A data storage means for storing a plurality of search result data, a classifying means for classifying the stored data into groups, and a group representing each group classified by the classifying means. A data search support device, comprising: a representative word creating unit that creates a representative word to be created; and a display unit that displays a list of representative words created by the representative word creating unit. 2. The method according to claim 1, wherein the classifying unit is configured to store a plurality of hierarchical data having a hierarchical relationship, and to store the data stored in the data storing unit in the hierarchical data storing unit. 2. The data search support device according to claim 1, further comprising a hierarchical data classifying means for classifying based on the hierarchical data. 3. The hierarchical data storage means stores a thesaurus which is a dictionary indicating a hierarchical relationship between a higher concept and a lower concept of a word, and the hierarchical data classification means searches the thesaurus, A high-level concept extracting means for extracting, for each data, a high-level concept word of the word included in the data stored in the storage means; and a group of data having the same extracted high-level concept word as one group. 3. The data search support device according to claim 2, further comprising: a thesaurus classifying means for classifying the stored data into groups. 4. The high-level concept extracting unit includes: a display capability storing unit that stores a display capability indicating the number of items that can be displayed; a display capability reading unit that reads the display capability from the display capability storing unit; Reclassification determining means for determining whether or not the number of groups classified by the thesaurus classifying means exceeds the read display capability; and the reclassification determining means determining that the number of the classified groups exceeds the display capability. In this case, a word of a concept one level higher than the extracted word of the higher level concept is extracted by the higher level concept extracting unit, and the word of the one level higher concept extracted by the thesaurus classifying unit is based on the extracted word. 4. The data search support device according to claim 3, further comprising: re-classification control means for controlling the data to be classified into the group of data. 5. The superordinate concept extracting means, comprising: a hierarchical designation receiving means for receiving designation of a thesaurus hierarchy; and a superordinate concept of a word included in the data based on the thesaurus hierarchy received by the hierarchical designation receiving means. 4. A data search support apparatus according to claim 3, further comprising a designated superordinate concept extracting means for extracting said word from said thesaurus. 6. The data according to claim 5, wherein the designated superordinate concept extracting means extracts words of the superordinate concept included in the hierarchy of the thesaurus specified by the hierarchical designation receiving means. Search support device. 7. The hierarchical data classifying unit is further configured to accept the specification when the hierarchy of the thesaurus accepted by the hierarchy designation accepting unit is a hierarchy lower than a word included in the data. A lower concept extracting means for extracting, from the thesaurus, a word of a lower concept of the word included in the hierarchy, wherein the thesaurus classifying means classifies data in which the extracted words of the higher concept or lower concept are the same as one group. 6. The data search support device according to claim 5, wherein: 8. The display device according to claim 1, wherein the hierarchical data classifying unit includes a display capability storing unit that stores a display capability indicating the number of items that can be displayed; a display capability reading unit that reads the display capability from the display capability storing unit; First re-classification determining means for determining whether or not the number of groups classified by the thesaurus classifying means exceeds the read display capability; and the number of groups classified by the thesaurus classifying means is equal to or less than a certain value. A second re-classification determining unit for determining whether or not the hierarchy of the thesaurus received by the hierarchy specification receiving unit is shifted up or down by one; and a first re-classification determining unit. When it is determined that the number of groups exceeds the display capacity, the designated hierarchy changing means changes the hierarchy to one level higher and the upper level The extraction of words of a higher concept by the concept extraction means and the classification of data stored in the data storage means into groups by the thesaurus classification means are controlled, and the number of the groups is reduced by the second re-classification determination means. , When it is determined that the value is equal to or less than a certain value, the designated hierarchy changing unit changes the hierarchy to one level lower, the lower concept extracting unit extracts lower concept words, and the thesaurus classifying unit 8. The data search support device according to claim 7, further comprising a re-classification control unit that controls classification of data stored in the data storage unit into groups. 9. The data storage means stores data composed of one or more attributes indicating a type of data and an attribute value that is data belonging to each attribute. An attribute designation receiving unit that receives designation of one or a plurality of attributes, wherein the superordinate concept extracting unit searches the thesaurus and extracts a word of a superordinate concept of an attribute value belonging to the designated one or plural attributes, 4. The data search support device according to claim 3, wherein the data is extracted from the data. 10. The data search support device according to claim 3, wherein the representative word creating unit creates a representative word for each group classified by the thesaurus classifying unit. 11. The hierarchical data storage means stores a table of contents composed of a plurality of titles having a hierarchical relationship, the data storage means stores data related to the table of contents, The hierarchical data classification means, data selection means for selecting data stored in the data storage means, a table of contents extraction means for extracting a title of the table of contents relating to the selected data, and the extracted title A table of contents classifying means for classifying the data selected by the data selecting means into a group by grouping the same data as one group; and searching for the table of contents and displaying a higher order of a title related to the data selected by the data selecting means. Upper title extracting means for extracting a title, display capacity storing means for storing display capacity indicating the number of displayable items, and said display capacity storing means Display capability reading means for reading the display capability, reclassification determination means for determining whether the number of groups classified by the table of contents classification means exceeds the read display capability, and the reclassification determination means, When it is determined that the number of classified groups exceeds the display capability, the upper-level title extracting means extracts a title one level higher than the extracted title, and the upper-level title extracting means extracts the upper-level title. Reclassification control means for controlling the data to be classified into groups based on the next higher-level title, wherein the representative word creation means includes, for each group created by the table of contents classification means, a title corresponding to the group. 3. The data search support device according to claim 2, wherein a representative word is created by using a keyword. 12. The hierarchical data storage means stores a gazetteer composed of a plurality of place names having a hierarchical relationship, the data storage means stores data including place names, Hierarchical data classification means, a data selection means for selecting data stored in the data storage means, comparing words included in the selected data with place names in the gazetteer, and if there is a matched place name, A place name extracting means for extracting the place names of the gazetteer, a place name classifying means for classifying the data stored in the data storage means into a group with the data having the same extracted place name as one group, And an upper-level place name extracting means for extracting a place name higher than the extracted place name, and a display capacity storage means for storing a display capacity indicating the number of displayable items. A display capability reading unit that reads the display capability from the display capability storage unit; a reclassification determining unit that determines whether the number of groups classified by the place name classifying unit exceeds the read display capability; When the classification determining means determines that the number of the classified groups exceeds the display capability, the upper place name extracting means extracts a place name one level higher than the extracted place name, and the extracted place name is extracted. Reclassification control means for controlling the data to be classified into groups on the basis of the next higher place name, wherein the representative word creation means corresponds to the group for each group created by the place name classification means 3. The data search support device according to claim 2, wherein a representative word is created using the place name. 13. The data storage means stores data composed of a plurality of attributes indicating a type of data and having a hierarchical relationship, and attribute values that are data belonging to the respective attributes. The data classifying unit includes: an attribute selecting unit that selects an attribute of data stored in the data storage unit as a classification key for classifying data stored in the data storage unit; Data classifying means for collecting data having the same attribute value belonging to the attribute selected by the attribute selecting means from the data and classifying the data into one group; and the data stored by the data classifying means,
A classification determining unit that determines whether the data is classified into one group or a plurality of groups; and if the classification determining unit determines that the data is classified into one group, a lower-level attribute is added to the classification key. 2. A data search support device according to claim 1, further comprising: data classification control means for controlling the data classification means to perform classification into groups. 14. The data classifying unit, a display capability storing unit that stores a display capability indicating the number of items that can be displayed, a display capability reading unit that reads out the display capability from the display capability storing unit, Reclassification determining means for determining whether or not the number of data included in one group exceeds the read display capability; and the number of data included in the one group classified by the classification determining means is If it is determined that the display capability has been exceeded, a lower-level attribute is added to the classification key,
14. The data search support device according to claim 13, further comprising a re-classification control unit that controls the data classification unit to classify the data into groups. 15. The data classification means, as a classification key for classifying the extracted data, the first one of the attribute values selected by the attribute selection means.
A classification key selecting unit that selects a character; a character classification unit that classifies the extracted data into groups based on a classification key selected by the classification key selection unit; and a character classification unit that classifies the extracted data. A character classification determining unit that determines whether the data is classified into one group or a plurality of groups; and if the character classification determining unit determines that the data is classified into one group, the classification key Next one to
14. The data retrieval support device according to claim 13, further comprising character classification control means for adding characters and controlling the character classification means to perform classification into groups. 16. The data storage means divides a place name into a plurality of hierarchically arranged district names, and stores a gazetteer having attributes corresponding to the plurality of divided district names. The selection means selects a gazetteer attribute as a classification key for classifying the place name stored in the data storage means, and the data classification means selects the place name stored in the data storage means as the attribute selection. The attribute selected by the means is classified as a group as a classification key, and the classification determining means determines whether the classified place name is classified into one group or a plurality of groups by the data classification means. Determining, the data classification control means, by the classification determination means,
14. The data search support according to claim 13, wherein when it is determined that the data is classified into one group, lower-order attributes are added to the classification key, and the data is classified into groups by the data classification unit. apparatus. 17. A classification key selecting unit for selecting, as a classification key for classifying the extracted data, a first character of an attribute value of an attribute of a lowest hierarchy of the gazetteer; A character classification unit that classifies the extracted data into groups based on a classification key selected by the classification key selection unit; and data classified by the character classification unit into one group. Or a character classification determining unit that determines whether the character is classified into a plurality of groups. If the character classification determining unit determines that the character is classified into one group, the character key is further added to the classification key.
17. The data retrieval support device according to claim 16, further comprising character classification control means for adding a character and controlling the character to be classified into a group by the character classification means. 18. The data search support device according to claim 13, wherein the representative word creating unit creates a representative word for each group classified by the hierarchical data classifying unit. 19. The data storage means stores data composed of one or more attributes indicating a type of data and attribute values that are data belonging to the respective attributes. 2. The data search support device according to claim 1, further comprising an attribute classifying unit that classifies the data stored in the data storage unit into data of the same attribute value belonging to an attribute into one group. 20. An attribute of data stored in the data storage means may be a character, a numerical value or a year, month, week, day, day of the week,
The attribute classifying means classifies the data stored in the data storage means into one group of data having the same attribute value belonging to a character, numerical value, or date and time attribute. 20. The data search support device according to claim 19, wherein the data search support device is classified as: 21. An attribute of data stored in said data storage means is composed of date and time, said classification means stores a plurality of classification methods, and said attribute classification means comprises a plurality of classification methods. Classification method designating means for designating one specific classification method from, data stored in the data storage means, year, month,
Group by day, group by year and month,
Classify into groups by year, month, week, or early in the year, month,
21. The data search support device according to claim 20, further comprising a classifying unit that classifies the data into groups in the middle and late. 22. The attribute classifying unit, a display capability storage unit that stores display capability indicating the number of items that can be displayed, a display capability read unit that reads the display capability from the display capability storage unit, and the group Display determination means for calculating whether the number of groups exceeds the read display capability and calculating the number of groups classified into the group; determining that the calculated number of groups exceeds the read display capability 21. A classification repetition control means for specifying another classification method by the classification method specifying means when the classification is performed, and controlling the classification execution means to perform classification into groups. Data search support device. 23. The classifying unit includes an attribute designation receiving unit that receives designation of one or more attributes from the data stored in the data storage unit, and the attribute classification unit receives the designation. 20. The data search support device according to claim 19, wherein data having the same attribute value belonging to one or more attributes is classified into one group. 24. The attribute of the data stored in the data storage means is composed of a place name, and the attribute classifying means converts the data stored in the data storage means into an attribute value belonging to the place name. 20. The data search support device according to claim 19, wherein the same data is classified into one group. 25. The attribute of the data stored in the data storage means is composed of a place name including a specific word indicating a plurality of areas arranged in a hierarchy, and the attribute classifying means comprises: From the data stored in the storage means, based on the specific word indicating a plurality of hierarchically arranged districts, a place name extracting means for extracting names of a plurality of hierarchically arranged districts; 25. The method according to claim 24, further comprising: a hierarchical district classifying unit that classifies the data stored in the data storage unit into groups based on the names of the plurality of cut-out hierarchically arranged districts. Data search support device. 26. The data storage means comprises at least one
A plurality of items including one sentence are stored, and the classifying unit includes a plurality of items stored in the data storage unit. 2. The data search support device according to claim 1, further comprising: word storage means for storing a word and said item; and item classification means for classifying said items having the same word into the same group. 27. The item classifying means, a word selecting means for selecting one or a plurality of words from the word storing means, a threshold value storing means storing a threshold value, One or more selected words are compared with the words stored in the word storage means, and the item in which the number of matching words is equal to or more than the threshold read from the threshold storage means is determined as one item. 27. The data search support device according to claim 26, further comprising: threshold value classification means for classifying the data into groups. 28. The data search support device according to claim 27, wherein said data selection means selects all matching ones of one or more words decomposed from two or more items. 29. The data search support device according to claim 27, wherein said data selection means selects one or a plurality of words decomposed from one item. 30. The data search support device according to claim 27, wherein said data selection means updates a threshold value stored in said threshold value storage means. 31. The threshold value classification means, for each of the items, compares the selected one or more words with words stored in the word storage means, and determines the number of matching words as Sub-threshold classifying means for classifying items which are equal to or larger than the threshold value read from the threshold value storing means into one group; item removing means for removing the classified items from the word storing means; Until the classification of the items is completed, one or a plurality of words are selected by the data selection means, classified into groups by the sub-threshold classification means, and controlled to remove the items by the item removal means. 28. The data search support device according to claim 27, further comprising return control means. 32. The classifying unit classifies the stored data into a first group.
2. The data search device according to claim 1, further comprising: a second classification unit; and a second classification unit that classifies the data into a second group based on the first group classified by the first classification unit. Support equipment. 33. The secondary classifying unit, a display capability storage unit that stores a display capability indicating the number of items that can be displayed, a display capability reading unit that reads the display capability from the display capability storage unit, For each first group classified by the primary classification means,
Display capability classifying means for classifying the data included in the first group into a second group based on the read display capabilities, wherein the representative word creating means creates a representative word representing the second group 2. The data search support device according to claim 1, wherein: 34. The secondary classification means, a display capacity storage means for storing a display capacity indicating the number of displayable items, a display capacity change receiving means for receiving a change in display capacity, and a display capacity change receiving means. 33. The data search support device according to claim 32, further comprising: a display capability updating unit configured to store the display capability received by the control unit in the display capability storing unit. 35. The secondary classifying means, a number specifying means for specifying a number, and a number for further classifying the first group classified by the primary classifying means into a second group for each of the specified numbers. 33. The data search support device according to claim 32, further comprising a classifying unit, wherein the representative word creating unit creates a representative word representing the second group. 36. The secondary classifying means, a duplication number designating means for designating duplication numbers, and adjoining the last data in the first group by the designated duplication number to the first group. 33. The data search support device according to claim 32, further comprising: a duplication classification unit for duplicating and duplicating the head of another first group. 37. The secondary categorizing means, a display capacity storing means for storing a display capacity indicating the number of displayable items, a display capacity reading means for reading out the display capacity from the display capacity storing means, Display group selecting means for selecting the first groups for the number of display capacities read out from the first groups classified by the primary classifying means; and a plurality of first groups selected by the display group selecting means.
Select one specific first group from the group and
A second group selection unit to be a group, and a first group classified by the primary classification unit,
The plurality of first groups selected by the display group selecting unit
Data included in a plurality of first groups other than the group and data that have not been classified are classified into the second group, and the display group selection is performed from the first group classified by the primary classification unit. A second group classifying unit that eliminates a plurality of first groups other than the plurality of first groups selected by the unit, wherein the representative word creating unit converts a representative word of the second group into:
4. The method according to claim 3, wherein the representative word is created using a word meaning "other", and the representative word creating unit creates a representative word representing the first group and the second group.
2. The data search support device according to 2. 38. The classification means, comprising: a group classification means for classifying the stored data into groups; a reclassification determination means for determining whether or not to perform reclassification; 2. The data search support device according to claim 1, further comprising a re-classification control unit for causing the unit to classify the data into groups. 39. The re-classification judging means, a display capacity storing means for storing a display capacity indicating the number of displayable items, a display capacity reading means for reading the display capacity from the display capacity storing means, Display determination means for determining whether the number of classified groups exceeds the read display capability; and, if the display determination means determines that display is not possible, re-control to perform classification by the group classification means. 39. The data search support device according to claim 38, further comprising: classification control means. 40. The re-classification determining unit determines whether the classified data is classified into one group or a plurality of groups, and performs re-classification only when the data is classified into one group. 39. The data search support device according to claim 38, wherein the determination is performed. 41. The data storage means stores data composed of a plurality of attributes indicating data types and attribute values which are data belonging to the respective attributes. An attribute designation receiving unit that receives designation of one or more attributes from the data stored in the storage unit; and an attribute value belonging to the attribute for which the data is stored in the data storage unit is the same. Data 1
39. The data search support device according to claim 38, further comprising: attribute classifying means for classifying the data into groups, wherein the re-classifying means classifies the attribute in place of another attribute. 42. The classification unit stores a plurality of classification methods, and the re-classification unit performs classification by replacing one classification method performed by the classification unit with another classification method. 39. The data search support device according to claim 38, wherein 43. The data storage means stores data composed of a plurality of attributes indicating a type of data and having a hierarchical relationship and attribute values which are data belonging to the respective attributes. The classifying unit includes an attribute designation receiving unit that receives designation of one or more attributes from the data stored in the data storage unit, and the data stored in the data storage unit is received by the designation. 1 data with the same attribute value belonging to the attribute
39. The data search method according to claim 38, further comprising: an attribute classifying unit that classifies the attribute into groups, wherein the re-classifying unit classifies the attribute and an attribute of a lower hierarchy of the attribute into a group as a classification key. Support equipment. 44. The classifying unit includes: a display capability storage unit that stores a display capability indicating the number of items that can be displayed; and a display capability reading unit that reads the display capability from the display capability storage unit. Determining means for each group classified by the group classification means, a representative word creation display means for creating a representative word representing the group, and displaying a list of created representative words; and the representative word creation display means A representative word accepting unit that accepts designation of one representative word from the displayed list of representative words, wherein the re-classification determining unit determines the read display capability and the representative word accepted by the representative word accepting unit. A comparison is made with the number of data belonging to the group to determine whether to perform reclassification. If the reclassification determination unit determines that reclassification is performed, the representative The data belonging to the group of the representative words received by the receiving unit is further reclassified into a group, and the representative word creating unit, when reclassified by the reclassifying unit, represents the reclassified group. 39. The data according to claim 38, wherein a representative word is created, and when the re-classification is performed by the re-classification unit, a list of representative words representing the re-classified group is displayed. Search support device. 45. The data search support device further includes a classification instruction receiving unit that receives an instruction to start data classification by an operator, wherein the classification unit receives an instruction from the operator to start data classification. 2. The data search support device according to claim 1, wherein upon receipt of the data, the stored data is classified into groups. 46. The classification means includes classification data creation means for extracting a part of each data necessary for classification from the data storage means and creating classification data, wherein the classification means includes the created classification data. 2. The data search support device according to claim 1, wherein the data stored in the data storage unit is classified based on the data. 47. The classification means includes a classification method receiving means for receiving designation of a classification method, wherein the classification means classifies the data according to the classification method received by the classification method receiving means. 2. The data search support device according to claim 1, wherein: 48. The data storage means stores data composed of a plurality of attributes indicating data types and attribute values which are data belonging to the respective attributes. Among the combinations of the classification methods and the attributes, the method includes an attribute classification method receiving unit that receives designation of one combination, wherein the classification unit according to the combination of the classification method and the attributes received by the attribute classification method receiving unit, 2. The data search support device according to claim 1, wherein the data is classified. 49. The representative word creating means, wherein the data storage means stores one or more attributes indicating a type of data and attribute values which are data belonging to the respective attributes. 2. The data search support device according to claim 1, further comprising: an attribute value representative word creating unit that creates a representative word using an attribute value for each group classified by the classifying unit. 50. The attribute value representative word creating means includes a representative word attribute designating means for designating an attribute of data, wherein the representative word creating means comprises an attribute value belonging to the attribute designated by the representative word attribute designating means. 50. The data search support device according to claim 49, wherein a representative word representing the group is created by using a keyword. 51. The representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, wherein the representative word creating means calculates a representative word including the calculated number of data. 50. The data search support device according to claim 49, wherein the data search support device is created. 52. The data number calculation means includes a data number determination means for determining that the data number calculated by the data number calculation means is 1, and the representative word creation means includes 52. A representative word is created using an attribute value for a group for which the number of data is determined to be one.
The described data search support device. 53. The classifying unit includes an attribute designation receiving unit that receives designation of one or a plurality of attributes from data stored in the data storage unit, and the attribute value representative word creating unit includes: 50. The data search support device according to claim 49, wherein a representative word is created using all or a part of a character string constituting an attribute value of the attribute. 54. A character string which is an attribute value of head data of a group classified by the classification means, a character string which is an attribute value of end data of a group, or 54. The data search support device according to claim 53, wherein a representative word is created using a character string that is an attribute value and a character string that is an attribute value of end data of a group. 55. The representative word creating unit creates a representative word using a character portion common to a character string that is an attribute value of a plurality of data included in the group classified by the classifying unit. 54. The data search support device according to claim 53. 56. The attribute value representative word creating means creates a representative word using a minimum value, a maximum value, a minimum value, a maximum value, or an average value of attribute values. Data search support device. 57. The attributes include year, month, week, day, day of the week,
50. The data search support apparatus according to claim 49, wherein the date and time includes at least one attribute of time, and the attribute value representative word creating unit creates a representative word using the date and time of the attribute value. 58. The attribute value representative word creating means, the latest date and time as the latest attribute value among the attribute values having the date and time attribute belonging to the classified group, and the attribute of the date and time belonging to the classified group. 58. The data search support device according to claim 57, wherein a representative word is created using the oldest date and time, which is the oldest attribute value among the attribute values possessed, or the latest date and time and the oldest date and time. 59. The representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, and the attribute value representative word creating means includes: 58. The data search support device according to claim 57, wherein a representative word is created using the number of pieces of data. 60. The data according to claim 57, wherein said attribute value representative word creating means creates a representative word for each group classified by said classifying means using a date and time common to the group. Search support device. 61. The representative word generating means includes a serial number generating means for generating a serial number for each group classified by the classifying means, wherein the representative word generating means uses the generated serial number. 2. The data search support device according to claim 1, wherein a representative word is created. 62. The data storage means includes at least one
A plurality of items including one sentence are stored, and the classifying unit includes a plurality of items stored in the data storage unit. A word storage unit for storing a word and the item; and an item classification unit for classifying the items having the same word into the same group, wherein the representative word creation unit uses the word stored in the word storage unit. 2. The data search support device according to claim 1, wherein a representative word is created by using the data. 63. The representative word creating means includes a data number calculating means for calculating the number of data belonging to the classified group, wherein the representative word creating means includes a word stored in the word storage means and 63. The data search support device according to claim 62, wherein a representative word is created using the calculated number of data. 64. The data search support device according to claim 62, wherein the representative word creating unit creates a representative word using the words and items stored in the word storage unit. 65. The data storage means stores data composed of a plurality of attributes indicating a type of data and having a hierarchical relationship and attribute values which are data belonging to the respective attributes. The data classifying unit includes: an attribute selecting unit that selects an attribute of data stored in the data storage unit as a classification key for classifying data stored in the data storage unit; A data classifying unit that collects data having the same attribute value belonging to the attribute selected by the attribute selecting unit and classifies the collected data into one group, and the data stored by the data classifying unit is:
A classification determining unit that determines whether the data is classified into one group or a plurality of groups; and if the classification determining unit determines that the data is classified into one group, a lower-level attribute is added to the classification key. And data classification control means for controlling the data to be classified into groups by the data classification means, wherein the representative word creating means is common to the data included in the group classified by the data classification control means. 2. The data search support device according to claim 1, wherein a representative word is created by using an attribute value of an attribute of a higher hierarchy to be executed. 66. The data storage means divides a place name into a plurality of hierarchically structured district names, and stores a gazetteer having attributes corresponding to the plurality of divided district names. The selection means selects an attribute of a gazetteer as a classification key for classifying the place names stored in the data storage means, and the data classification means selects the place names stored in the data storage means, The attributes selected by the attribute selection unit are classified as groups using the classification key as the classification key, and the classification determination unit determines whether the data classification unit classifies the classified place names into one group or a plurality of groups. The data classification control means, by the classification determination means,
When it is determined that the data is classified into one group, a lower-order attribute is added to the classification key, and the data is classified by the data classification unit into a group. The representative word creation unit is controlled by the data classification control unit. 67. The data search support device according to claim 65, wherein a representative word is created using an attribute value of a district name of a higher hierarchy common to data included in the classified group. 67. A data search support device, comprising: instead of the data storage means, search means for searching data from a storage medium storing a plurality of search target data; 2. The data search support device according to claim 1, wherein the data is classified into groups. 68. A data search support method used in a data search support device including data storage means for storing a plurality of search result data, a classification step of classifying the stored data into groups. A representative word creation step of creating a representative word representing the group for each group classified by the classification step; and a display step of displaying a list of the representative words created by the representative word creation step. Data search support method. 69. A computer-readable recording medium recording a data search support program used in a computer having data storage means for storing a plurality of search result data, wherein the stored data is grouped. A classification step of classifying, a representative word creation step of creating a representative word representing the group for each group classified by the classification step, and a display step of displaying a list of the typical words created by the representative word creation step And a recording medium on which a data search support program is recorded. 70. A data storage means for storing a plurality of search result data, a hierarchical data storage means for storing a thesaurus which is a dictionary indicating a hierarchical relationship between a superordinate concept and a subordinate concept of a word; A high-level concept extracting means for searching and extracting, for each data, a high-level concept word of the word included in the data stored in the data storage means; and a group of data having the same extracted high-level concept word. A thesaurus classifying means for classifying data stored in the data storage means into groups; a display capacity storage means storing display capacity indicating the number of items that can be displayed; and Display capability reading means for reading, and determining whether or not the number of groups classified by the thesaurus classification means exceeds the read display capability. A re-classification determining unit; if the re-classification determining unit determines that the number of the classified groups exceeds the display capability, the superordinate concept extracting unit further ranks the extracted superordinate word one level higher Re-classification control means for extracting words of the concept, and classifying the data into a group of the data based on the word of the concept one level higher extracted by the thesaurus classification means; and A data search support device comprising: a representative word creating unit for creating a representative word representing the group for each group; and a display unit for displaying a list of the representative words created by the representative word creating unit. 71. A data storage means for storing a plurality of search result data comprising a plurality of attributes indicating data types and having a hierarchical relationship and attribute values which are data belonging to the respective attributes. An attribute selection unit that selects an attribute of data stored in the data storage unit as a classification key for classifying data stored in the data storage unit; and a data stored in the data storage unit. A data classifying unit that collects data having the same attribute value belonging to the attribute selected by the attribute selecting unit and classifies the collected data into one group; a display capability storage unit that stores a display capability indicating the number of displayable items; A display capability reading unit that reads the display capability from the display capability storage unit; and data stored by the data classification unit.
First classification determining means for determining whether the data has been classified into one group or a plurality of groups; and second determining whether the number of groups classified by the data classification means exceeds the read display capability. When the classification determining unit and the first classification determining unit determine that the data is classified into one group, a lower-order attribute is added to the classification key, and the data is classified into the group by the data classification unit. If the number of the classified groups exceeds the display capability by the second classification determining means, the classification key is changed to a higher-level attribute, and the data classification means Data classification control means for performing classification so as to perform classification; When the data retrieval support apparatus, comprising a display means for displaying a list of representative words the representative word producing means.