JP5533576B2 - Information creating apparatus, information creating method and program - Google Patents

Description

  The present invention relates to an information creation apparatus, an information creation method, and a program for creating facility name search information for searching for a facility name based on an input search word.

Conventionally, various techniques for creating facility name search information for searching facility names based on input search terms have been proposed.
For example, with a POI (Point of interest) as a search object, a character string obtained without converting the morpheme obtained by performing morphological analysis on the attribute information of the search object included in the service information related to POI, There is an information search apparatus that stores search position specifying information for specifying a storage position of POI service information in association with each other (see, for example, Patent Document 1).

JP 2009-271593 A

  According to the information search apparatus described in Patent Document 1 described above, the morpheme character string obtained by performing morphological analysis on the attribute information of the search object included in the service information related to POI does not match the characteristics of the POI. There is a possibility that it becomes a character string, service information related to POI having different characteristics is searched, and there is a possibility that a facility name having unplanned attribute information is presented.

  For example, when the name of a POI that is a bicycle store is “Kana Recycle”, the name may be divided into two morphemes “Kana” and “Recycle” by morphological analysis. For this reason, when the user inputs the search word “Risaikuru” to search for a thrift store, the bicycle store “Kana Recycle” is searched as the facility name, and there is a possibility that the facility name of an unplanned genre is presented. .

  Therefore, the present invention has been made to solve the above-described problems, and it is possible to create facility name search information that can search for an appropriate facility name based on an input search word. An object is to provide an information creation device, an information creation method, and a program.

  In order to achieve the object, the information creating apparatus according to claim 1 includes an attribute information storage unit that stores a plurality of facility names and attribute information of the plurality of facility names in association with each other, and each of the plurality of facility names. A search target character string creating unit that acquires an attribute keyword from the attribute information corresponding to the facility name, and creates a search target character string by dividing the character string of the facility name into a plurality of keywords based on the attribute keyword And facility name search information creation means for creating facility name search information in which the search target character strings of the plurality of facility names created by the search target character string creation means and the plurality of facility names are associated with each other And.

  An information creating apparatus according to claim 2 is the information creating apparatus according to claim 1, further comprising basic keyword storage means for storing a plurality of basic keywords, wherein the search target character string creating means If there is a keyword that matches the attribute keyword in the character string, the character string of the facility name is divided into keywords that match the attribute keyword, and then does not match the attribute keyword in the character string of the facility name The search target character string is created by dividing a partial character string into keywords that match the basic keyword.

  The information creation device according to claim 3 is the information creation device according to claim 1 or 2, wherein the attribute information includes address information of a facility corresponding to the facility name, and is acquired from the address information. The attribute keyword to be included includes an attribute keyword representing an administrative district.

  The information creation device according to claim 4 is the information creation device according to any one of claims 1 to 3, wherein the attribute information includes genre information of a facility corresponding to the facility name, and the genre The attribute keyword acquired from the information includes an attribute keyword representing a genre.

  The information creation device according to claim 5 is the information creation device according to any one of claims 1 to 4, wherein the attribute information includes telephone number information of a facility corresponding to the facility name, The attribute keyword acquired from the telephone number information includes an attribute keyword representing a telephone number.

An information creation method executed by the information creation apparatus according to claim 6 is configured to acquire an attribute keyword from attribute information stored in advance in association with the facility name for each of the facility names, and use the attribute keyword as the attribute keyword. A search target character string creating step of creating a search target character string by dividing the facility name character string into a plurality of keywords, and the plurality of facility name search target characters created in the search target character string creating step And a facility name search information creating step of creating facility name search information in which the column and the plurality of facility names are associated with each other.

  Furthermore, a program according to claim 7 is provided for a computer including attribute information storage means for storing a plurality of facility names and attribute information of the plurality of facility names in association with each other for each of the plurality of facility names. A search target character string creation step of acquiring an attribute keyword from the attribute information corresponding to a facility name, and creating a search target character string by dividing the character string of the facility name into a plurality of keywords based on the attribute keyword; A facility name search information creation step of creating facility name search information in which the search target character strings of the plurality of facility names created in the search target character string creation step and the plurality of facility names are associated with each other; Is a program for executing

  In the information creation device according to claim 1 having the above configuration, for each of a plurality of facility names, an attribute keyword is acquired from attribute information corresponding to the facility name, and a character string of the facility name is obtained based on the attribute keyword. Create a search target character string by dividing it into multiple keywords. Then, facility name search information is created by associating the search target character strings of the plurality of facility names with the plurality of facility names.

  As a result, when an attribute keyword is input as a search term, a search target character string divided into a plurality of keywords is searched from the facility name search information based on the attribute keyword, and the search target character string is stored in the search target character string. The associated facility name can be extracted as a candidate facility name, and an appropriate facility name can be searched based on the input search word.

  In the information creation device according to claim 2, when there is a keyword that matches the attribute keyword in the character string of the facility name, the character string of the facility name is divided into keywords that match the attribute keyword, A search target character string is created by dividing a character string of a part of the facility name character string that does not match the attribute keyword into keywords that match the basic keyword.

  Thereby, when an attribute keyword is included in the character string of the facility name, the search target character string stored in association with the facility name can be surely divided by the attribute keyword and stored as facility name search information. It becomes possible. Therefore, when an attribute keyword is input as a search term, a search target character string having the attribute keyword is searched from the facility name search information, and a facility name associated with the search target character string is determined as a candidate facility name. And an appropriate facility name can be searched based on the input search term.

  When a basic keyword is input as a search term, a search target character string having the basic keyword is searched from the facility name search information, and a facility name associated with the search target character string is selected as a candidate facility name. And an appropriate facility name can be searched based on the input search term.

  In the information creation device according to claim 3, for each of a plurality of facility names, an attribute keyword representing an administrative division is acquired from the address information of the facility corresponding to the facility name, and based on the attribute keyword representing the administrative division Thus, the character string of the facility name is divided into a plurality of keywords to create a search target character string. Thus, when an attribute keyword representing an administrative district is input as a search term, a search target character string divided into a plurality of keywords is searched based on the attribute keyword representing the administrative district from the facility name search information. Thus, the facility name associated with the search target character string can be extracted as a candidate facility name.

  In the information creation device according to claim 4, for each of a plurality of facility names, an attribute keyword representing a genre is acquired from the genre information of the facility corresponding to the facility name, and the attribute keyword representing the genre is used to obtain the attribute keyword. Create a search target character string by separating the facility name character string into multiple keywords. Thereby, when an attribute keyword representing a genre is input as a search term, a search target character string divided into a plurality of keywords is searched from the facility name search information based on the attribute keyword representing the genre, The facility name associated with the search target character string can be extracted as a candidate facility name.

  In the information creation device according to claim 5, for each of a plurality of facility names, an attribute keyword representing a telephone number is acquired from the telephone number information of the facility corresponding to the facility name, and the attribute keyword representing the telephone number is obtained. Based on this, the character string of the facility name is divided into a plurality of keywords to create a search target character string. As a result, when an attribute keyword representing a telephone number is input as a search term, a search target character string divided into a plurality of keywords is retrieved from the facility name search information based on the attribute keyword representing the telephone number. Thus, the facility name associated with the search target character string can be extracted as a candidate facility name.

In the information creation method according to claim 6, the information creation device acquires the attribute keyword from the attribute information corresponding to the facility name for each of the plurality of facility names by executing the information creation method , Based on the attribute keyword, the character string of the facility name is divided into a plurality of keywords to create a search target character string. Then, the information creation apparatus creates facility name search information in which the search target character strings of the plurality of facility names and the plurality of facility names are associated with each other.

Thus, when an attribute keyword is input as a search word, the information creation device searches the facility name search information for a search target character string divided into a plurality of keywords based on the attribute keyword. The facility name associated with the search target character string can be extracted as a candidate facility name.

  Further, in the program according to claim 7, the computer reads the program to acquire an attribute keyword from attribute information corresponding to the facility name for each of the facility names, and based on the attribute keyword, the facility Create a search target string by dividing the name string into multiple keywords. Then, the computer creates facility name search information in which the search target character strings of the plurality of facility names are associated with the plurality of facility names.

  Thus, when an attribute keyword is input as a search term, the computer searches the facility name search information for a search target character string divided into a plurality of keywords based on the attribute keyword, and this search target A facility name associated with the character string can be extracted as a candidate facility name.

It is the block diagram which showed the information creation apparatus concerning a present Example. It is a figure which shows an example of the basic keyword dictionary table stored in keyword DB. It is a figure which shows an example of the facility data table stored in facility name DB. It is a flowchart which shows "facility name search information creation processing" which creates the facility name search information. 5 is a sub-flowchart showing a sub-process of “keyword priority setting process” in FIG. 4. It is a figure which shows an example of a keyword priority setting table. It is a figure which shows an example which divided | segmented the character string of the facility name into the keyword. It is a figure which shows an example of a keyword priority setting table. It is a figure which shows an example which divided | segmented the character string of the facility name into the keyword. It is a figure which shows an example of the data table for a facility name search stored in facility name DB. It is a figure which shows an example of the related address data table stored in facility name DB which concerns on another Example. It is a figure which shows an example which divided | segmented the character string of the facility name into the keyword by related address information. It is a figure which shows an example of the data table for a facility name search stored in facility name DB which concerns on another Example. It is a figure which shows an example of the word alignment keyword table stored in facility name DB which concerns on another Example. It is a figure which shows an example of the keyword priority setting table which concerns on another Example. It is a figure which shows an example which divided | segmented the character string of the facility name which concerns on another Example into the keyword. It is a figure which shows an example of the data table for a facility name search stored in facility name DB which concerns on another Example.

  DETAILED DESCRIPTION Hereinafter, an information creation apparatus, an information creation method, and a program according to an embodiment of the present invention will be described in detail with reference to the drawings based on an embodiment.

[Schematic configuration of information creation device]
First, a schematic configuration of the information creation apparatus 1 according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram illustrating an information creation apparatus 1 according to the present embodiment.
As shown in FIG. 1, the information creating apparatus 1 according to the present embodiment includes a data recording unit 11 in which various types of data are recorded, a control unit 12 that performs various arithmetic processes based on input information, An operation unit 14 that receives an operation from an operator, a liquid crystal display 15 that displays information such as a facility name to the operator, a speaker 16 that outputs voice guidance related to the operation guidance, and a map information distribution center (not shown) And a facility name search data table 71 (FIG. 10) described later on an SD memory card 5 as an example of a portable storage medium equipped with a flash memory and a communication device 17 that communicates with the device via a mobile phone network or the like. A card read / write unit (card R / W) that reads a facility data table 52 (see FIG. 3) described later as facility name information from the SD memory card 5 And a) 19 Metropolitan.

  Hereinafter, each component constituting the information creation device 1 will be described. The data recording unit 11 includes an external storage device and a hard disk (not shown) as a recording medium, and a keyword database (keyword DB) stored in the hard disk. 25, a facility name database (facility name DB) 27, a predetermined program and the like are read out and a driver for writing predetermined data in the hard disk is provided.

In addition, the keyword DB 25 stores a basic keyword dictionary table 51 (see FIG. 2), which will be described later, in which basic keywords and selection priority of the basic keywords are associated with each other and stored in order of selection priority. Here, the keyword is a character string of words composed of units that make sense.
Further, the facility name DB 27 stores a facility data table 52 (see FIG. 3) described later that stores facility names and attribute information of the facility names in association with each other.

  As shown in FIG. 1, the control unit 12 constituting the information creation apparatus 1 includes an arithmetic device that performs overall control of the information creation device 1, a CPU 41 as a control device, and the CPU 41 performs various arithmetic processes. RAM 42 used as a working memory, ROM 43 storing a control program, an SD memory card 5 and an internal storage device such as a flash memory 44 for storing a program read from the ROM 43, a timer 45 for measuring time, etc. I have.

  The ROM 43 stores a facility name search information creation processing program (see FIG. 4) for creating a facility name search data table 71 as facility name search information described later. Various programs are stored in the ROM 43. The program, the basic keyword dictionary table 51, the facility data table 52, etc. are read from the SD memory card 5 via the card R / W unit 19 to flash memory. 44 and the data recording unit 12 can also be written. Further, by replacing the SD memory card 5, the program, the basic keyword dictionary table 51, the facility data table 52, etc. can be updated.

  Further, the peripheral unit (actuator) of the operation unit 14, the liquid crystal display 15, the speaker 16, the communication device 17, and the card R / W unit 19 is electrically connected to the control unit 12. In the present embodiment, the SD memory card 5 is attached to the card R / W unit 19, but a mini SD memory card, a micro SD memory card, or the like may be used.

Here, an example of the basic keyword dictionary table 51 stored in the keyword DB 25 will be described with reference to FIG.
As shown in FIG. 2, the basic keyword dictionary table 51 includes “keywords” and “priorities”. In this “keyword”, character strings such as kanji, hiragana, katakana, numbers, alphabets, etc., which are configured in units that make sense, are stored as basic keywords.

  In the “priority”, the selection priority selected when the character string of the facility name is divided into keywords is stored corresponding to each basic keyword stored in the “keyword”. The selection priority is represented by a numerical value such as “101” or “256”, and the smaller the numerical value, the higher the selection priority.

  For example, when the selection priority of the basic keyword “factory” is “100” and the selection priority of the basic keyword “corporation” is “101”, when the facility name character string is divided into keywords, the basic keyword “Factory” is selected before the basic keyword “corporation”. Note that the selection priority corresponding to each basic keyword is set to, for example, “100” or more in order to give a higher selection priority to the attribute keyword than the basic keyword, as will be described later.

Next, an example of the facility data table 52 stored in the facility name DB 27 will be described with reference to FIG.
As shown in FIG. 3, the facility data table 52 includes “facility names” and “address information”, “genre information”, and “phone number information” as attribute information of the facility names. The “facility name” stores a facility name representing a destination to be searched.

  The “address information” stores the address of the facility corresponding to each facility name. In the “genre information”, keywords representing the genre to which the facility corresponding to each facility name belongs are separated and stored by a delimiter (for example, “/”). In the “telephone number information”, the telephone number of the facility corresponding to each facility name is stored by being separated into an area code or the like by a delimiter (for example, “−”).

[Facility name search information creation process]
Next, FIG. 4 to FIG. 10 show “facility name search information creation processing” that is executed by the CPU 41 of the information creation apparatus 1 configured as described above and creates the facility name search data table 71. This will be explained based on.
FIG. 4 is a flowchart showing a “facility name search information creation process” for creating the facility name search data table 71 as a process executed by the CPU 41. The program shown in the flowchart of FIG. 4 is executed by the CPU 41 when a facility name search data table creation button (not shown) of the operation unit 14 is pressed.

  As shown in FIG. 4, first, in step (hereinafter abbreviated as S) 11, the CPU 41 reads the basic keyword dictionary table 51 from the keyword DB 25 and stores it in the RAM 42 as the keyword priority table 61 (see FIG. 6). . Therefore, the configuration of the keyword priority table 61 is the same as the configuration of the basic keyword dictionary table 51, and includes “keyword” and “priority”.

  Then, in S12, the CPU 41 first “facility name” from the facility data table 52 and “address information”, “genre information”, “phone number information” as attribute information corresponding to this “facility name”. Are sequentially read and stored in the RAM. For example, the CPU 41 selects the first facility name “Men Miehara Honmachi Factory” from the facility data table 52, and the address information “Shigehara Honmachi, Kariya City, Aichi Prefecture” Information “none” and telephone number information “0566-XX-YYYY” are read out and stored in the RAM 42.

  Subsequently, in S 13, the CPU 41 acquires attribute keywords from “address information”, “genre information”, and “phone number information” as the attribute information read from the facility data table 52 and stores them in the keyword priority table 61. The sub-process (see FIG. 5) of “keyword priority setting process” is executed.

Here, the sub-process of “keyword priority setting process” will be described with reference to FIG.
As shown in FIG. 5, in S111, the CPU 41 reads the keyword priority table 61 from the RAM 42, deletes the keyword added from the keyword priority table 61 and the priority assigned to the added keyword, and again executes the RAM 42. To remember.

  That is, the “keyword” stored in the keyword priority table 61 and the “priority” corresponding to each keyword are in the same state as the data stored in the basic keyword dictionary table 51, that is, each basic keyword, Only the selection priority of each basic keyword is stored. For example, the added keyword with the “priority” of “less than 100” in the keyword priority table 61 and the priority assigned to the added keyword are deleted, and the same state as the data stored in the basic keyword dictionary table 51 To.

  In S112, the CPU 41 reads out the “address information” stored in S12 from the RAM 42, and a character string representing the address of this facility from the top in administrative division units (for example, prefectures, municipalities). It is divided and extracted in order as attribute keywords representing administrative districts in the order of each division. Then, the CPU 41 adds the attribute keywords representing the extracted administrative districts in the order of extraction from the top of the “keyword” in the keyword priority table 61 and stores them. Further, the CPU 41 stores the “priority” corresponding to each attribute keyword representing the added administrative district by incrementing the numerical value by “1” in order from “1”.

  For example, as shown in FIG. 6, when the “address information” read from the facility data table 52 is “Shigehara Honmachi, Kariya City, Aichi Prefecture”, the CPU 41 sets each attribute keyword “Aichi Prefecture”, “Kariya City” and “Shigehara Honmachi” are extracted and stored in the keyword priority table 61 in the order of extraction from the top of “keyword”. Further, the CPU 41 sequentially stores “1” to “3” in “priorities” corresponding to the attribute keywords “Aichi Prefecture”, “Kariya City”, and “Shigehara Honmachi” representing the added administrative divisions. .

  Further, for example, as shown in FIG. 8, when the “address information” read from the facility data table 52 is “Miai-cho, Okazaki-shi, Aichi”, the CPU 41 sets the attribute keywords “Aichi”, “ “Okazaki City” and “Miaicho” are extracted and stored in the keyword priority table 61 in the order of extraction from the top of “keyword”. Further, the CPU 41 sequentially stores “1” to “3” in “priorities” corresponding to the attribute keywords “Aichi Prefecture”, “Okazaki City”, and “Miai Town” representing the added administrative divisions.

  Subsequently, in S113, the CPU 41 reads out the “genre information” stored in S12 from the RAM 42, and sets each character string delimited by a delimiter (for example, “/”) of the genre information in the order of delimitation. Extract in order as attribute keywords representing genres. Then, the CPU 41 adds each attribute keyword representing the extracted genre to the attribute keyword representing the administrative division of the “keyword” in the keyword priority table 61 and stores it in the order of extraction. Further, the CPU 41 sequentially starts from a numerical value obtained by adding “1” to “priority” corresponding to the attribute keyword representing the last stored administrative district to “priority” corresponding to each attribute keyword representing the added genre. The numerical value is incremented by 1 and stored.

  For example, as shown in FIG. 8, when the “genre information” read from the facility data table 52 is “bicycle / cycle”, the CPU 41 extracts the attribute keywords “bicycle” and “cycle” representing the genre. Then, following the attribute keyword “Miaicho” representing the administrative division of “keyword” in the keyword priority table 61, it is added and stored in the order of extraction. Further, the CPU 41 sequentially stores “4” and “5” in “priority” corresponding to the attribute keywords “bicycle” and “cycle” representing the added genre.

  If the “genre information” read from the RAM 42 is “none”, the CPU 41 proceeds to the process of S114 without extracting the attribute keyword representing the genre. Therefore, when the “genre information” read from the RAM 42 is “none”, the CPU 41 does not store the attribute keyword representing the genre in the “keyword” of the keyword priority table 61.

  In S114, the CPU 41 reads out the “telephone number information” stored in S12 from the RAM 42, and converts each character string delimited by a delimiter (for example, “−”) of the telephone number information into each delimiter. In order, attribute keywords representing telephone numbers are extracted in order. Then, the CPU 41 adds each attribute keyword representing the extracted telephone number to each attribute keyword representing the genre of “keyword” in the keyword priority table 61 and stores it in the order of extraction.

  Further, the CPU 41 sequentially starts from a numerical value obtained by adding “1” to “priority” corresponding to the attribute keyword representing the last stored genre to “priority” corresponding to each attribute keyword representing the added telephone number. After the numerical value is incremented by 1 and stored, the sub-process is terminated, the process returns to the main flowchart, and the process proceeds to S14.

  For example, as shown in FIG. 8, when the “genre information” read from the facility data table 52 is “bicycle / cycle” and the “telephone information” is “0566-YY-XXXX”, the CPU 41 The attribute keywords “0566”, “YY”, and “XXXX” are extracted. Then, the CPU 41 stores each attribute keyword representing the extracted telephone number in the order of extraction following the attribute keyword “cycle” representing the genre of “keyword” in the keyword priority table 61. Further, the CPU 41 sequentially stores “6” to “8” in “priorities” corresponding to the attribute keywords “0566”, “YY”, and “XXXX” representing the added telephone number.

  If no attribute keyword representing a genre is stored in the “keyword” of the keyword priority table 61, the CPU 41 follows each attribute keyword representing an administrative district, followed by each attribute keyword representing this extracted telephone number. Are added and stored in the order of extraction. In addition, the CPU 41 sequentially adds “1” to “priority” corresponding to the attribute keyword representing the last stored administrative district to “priority” corresponding to each attribute keyword representing the added telephone number. After the numerical value is incremented by 1 and stored, the sub-process is terminated, the process returns to the main flowchart, and the process proceeds to S14.

  For example, as shown in FIG. 6, when the “genre information” read from the facility data table 52 is “none” and the “telephone information” is “0566-XX-YYYY”, the CPU 41 represents a telephone number. Each attribute keyword “0566”, “XX”, “YYYY” is extracted. Then, the CPU 41 adds and stores each attribute keyword representing the extracted telephone number in the order of extraction following the attribute keyword “Shigehara Honmachi” representing the administrative division of the “keyword” in the keyword priority table 61. Further, the CPU 41 sequentially stores “4” to “6” in “priorities” corresponding to the attribute keywords “0566”, “XX”, and “YYYY” representing the added telephone numbers.

  Subsequently, as shown in FIG. 4, in S <b> 14, the CPU 41 reads the “facility name” stored in S <b> 12 from the RAM 42. Then, the CPU 41 reads “keywords” from the keyword priority table 61 in the order of selection priority, starting with the first attribute keyword, and if there is a character string that matches the attribute keyword in the character string of the facility name, The facility name character string is separated by a character string (keyword) that matches the attribute keyword.

  Further, when there is a character string that matches the basic keyword selected in the order of selection priority after the attribute keyword for the character string of the portion that does not match the attribute keyword in the character string of the facility name, the CPU 41 A search target character string is created by repeatedly dividing the character string (keyword) that matches the basic keyword, and stored in the RAM 42.

  For example, as shown in FIG. 6 and FIG. 7, each keyword “Aichi Prefecture”, “Kariya City”, “Shigehara Honmachi”, “0566”,. , Each basic keyword “factory”, “corporation”, “company”,... Is stored in order of selection priority, and the “facility name” stored in S12 is “Enmihara Haramachi factory” The CPU 41 first divides the character string of the facility name with a character string (keyword) “Shigehara Honmachi” that matches the attribute keyword “Shigehara Honmachi”. ”,“ Shigehara Honmachi ”and“ Factory ”.

  Subsequently, the CPU 41 matches the basic keyword “factory” of the “keyword” in the keyword priority table 61 among the character strings “Cenzo” and “factory” that do not match the attribute keyword “Shigehara Honmachi”. (Keyword) Separated by “factory”, and then separated from “Yenzo” by a character string (keyword) “three” that matches the basic keyword “three” of “keyword” in the keyword priority table 61. "Yen / San / Shigehara Honmachi / Factory" is created and stored in the RAM.

  Further, for example, as shown in FIGS. 8 and 9, each keyword “Aichi Prefecture”, “Okazaki City”, “Miaicho”, “bicycle”, “cycle” .. and the basic keywords “factory”, “stock”, “company”,... Are stored in order of selection priority, and the “facility name” stored in S12 is “Kana Recycle Biai” In this case, the CPU 41 first divides the character string of the facility name by a character string (keyword) “cycle” that matches the attribute keyword “cycle”, that is, the character string of the facility name is “canary”, “ Cycle "and" Miai store ".

  Subsequently, when the basic keyword that matches each character string “Canari” and “Miai store” that does not match the attribute keyword “cycle” is not stored in the “keyword” of the keyword priority table 61, the CPU 41 A search target character string “Canary / cycle / Miai store” is created and stored in the RAM 42.

  Then, as shown in FIG. 4, in S <b> 15, the CPU 41 reads a search target character string divided into keywords from the RAM 42. Then, the CPU 41 delimits the reading for each keyword of the search target character string with a delimiter (for example, “/”), and associates it with the facility name as the “reading” of the facility name stored in S12. Are stored in the RAM 42 in time series.

  For example, as shown in FIG. 7, when the search target character string is “Yen / San / Shigehara Honmachi / Factory”, the CPU 41 separates the reading for each keyword of this search target character string (for example, “/ "En / san / shigeharahonmachi / kojo" delimited by ") as the" reading "of the facility name" Mie Miehara Honmachi Factory ", corresponding to this facility name in the RAM 42 in time series To remember.

  Also, for example, as shown in FIG. 9, when the search target character string is “Canary / cycle / Miai store”, the reading for each keyword of the search target character string is a delimiter (for example, “/”). “Pretty / sakuru / miaiten” delimited by “” is stored in the RAM 42 in time series as “reading” of the facility name “Kana Recycle Miai” corresponding to the facility name.

  In addition, “g”, “pa”, and other muffled / semi-acoustic sounds included in the facility name readings are “ka”, “ha”, etc., as well as lower-case kana characters such as “nya”, “tsu”, etc. ) Is converted into kana basic characters such as “ya” and “tsu”, and long tones are converted into kana basic characters and stored, such as corresponding vowels. For example, “en / san / shigeharahonmachi / kojo” is actually stored as “en / san / shikeharahonmachi / koujo”, but in this embodiment, the description is simplified. For this purpose, the facility name and the reading are matched and described as “en / san / shigeharahonmachi / kojo”.

  Thereafter, the CPU 41 executes determination processing for determining whether or not the “facility name” of the facility data table 52 stores the facility name in the next order of the facility names read in S12. If it is determined that the facility name in the next order is stored, the CPU 41 executes the loop subsequent to S12 again for the “facility name” in the next order. On the other hand, if it is determined that the facility name of the next order is not stored, the CPU 41 ends the loop and proceeds to the process of S16.

  In S <b> 16, the CPU 41 sequentially reads out “facility” of the facility name stored in time series in S <b> 15 and “facility name” corresponding to “reading” of the facility name sequentially from the RAM 42, and sequentially associates them with each other. After the stored facility name search data table 71 (facility name search information) is created and stored in the facility name DB 27, the processing is terminated.

Here, an example of the facility name search data table 71 stored in the facility name DB 27 will be described with reference to FIG.
As shown in FIG. 10, the facility name search data table 71 includes “reading” for storing the reading of the facility name and “facility name”. In addition, “reading” stores facility name readings separated by delimiters (for example, “/”) for each keyword. Further, in “facility name”, a facility name representing a destination to be searched is stored corresponding to the reading of the facility name stored in “reading”.

  For example, in the “reading” of the facility name search data table 71, “en / san / shigeharahonmachi / kojo” separated by a delimiter for each keyword is used as the “facility name” of “Menharahara Honmachi” It is stored corresponding to “factory”. As a result, when any one of “en”, “san”, “shigeharahonmachi”, and “kojo” is entered as a search term, “read” in the facility name search data table 71 is used. After extracting the reading “en / san / shigeharahonmachi / kojo” etc. of the facility name with the search term as a keyword, the facility name corresponding to each “reading” of the extracted facility name is “Men Miehara Honmachi Factory” Or the like as a candidate facility name.

  As described in detail above, in the information creating apparatus 1 according to the present embodiment, the CPU 41 sets “address information” as attribute information corresponding to the facility name for each facility name stored in the facility data table 52. "Genre information" and "phone number information" are read in order. Then, the CPU 41 acquires attribute keywords from “address information”, “genre information”, and “telephone number information” as each attribute information, and assigns a higher selection priority than the basic keywords to the keyword priority table 61. Remember.

  Then, the CPU 41 reads “keywords” from the keyword priority table 61 in the order of selection priority, starting with the first attribute keyword, and if there is a character string that matches the attribute keyword in the character string of the facility name, The facility name character string is separated by a character string (keyword) that matches the attribute keyword. Subsequently, when there is a character string that matches the basic keyword selected in the order of selection priority after the attribute keyword for the character string of the portion that does not match the attribute keyword in the facility name character string, A search target character string is created by repeatedly delimiting with a character string (keyword) that matches the basic keyword.

  Then, the CPU 41 delimits the reading for each keyword of the search target character string with a delimiter (for example, “/”), and sets the facility name as “reading” in time series in the RAM 42 corresponding to the facility name. Remember me. Thereafter, the CPU 41 sequentially reads out the facility name “reading” stored in time series and the “facility name” corresponding to the facility name “reading” sequentially from the RAM 42, and sequentially stores the facility names in association with each other. A search data table 71 is created and stored in the facility name DB 27.

  Thereby, when an attribute keyword is included in the character string of the facility name, the character string of the facility name is surely divided by the attribute keyword to create a search target character string, and for each keyword of the search target character string The reading can be separated by a delimiter and stored in the facility name search data table 71 as “facility” of the facility name in association with the facility name.

  Accordingly, when any attribute keyword representing an administrative division, genre, or telephone number is input as a search term, an attribute representing the administrative division, genre, or telephone number from “reading” in the facility name search data table 71. After extracting the reading of the facility name having the keyword, the facility name corresponding to each “reading” of the extracted facility name can be extracted as a candidate facility name, and an appropriate facility name is searched based on the input search term Is possible.

  In addition, when a basic keyword is input as a search word, after extracting a facility name having the basic keyword from “reading” in the facility name search data table 71, each “reading” of the extracted facility name is extracted. Can be extracted as a candidate facility name, and an appropriate facility name can be searched based on the input search term.

  In addition, this invention is not limited to the said Example, Of course, various improvement and deformation | transformation are possible within the range which does not deviate from the summary of this invention. For example, the following may be used.

[Other embodiments]
(A) For example, a character string representing each address stored in the “address information” of the facility data table 52 is divided from the top in administrative division units (for example, prefectures, municipalities), and in the order of each division. Attribute keywords that represent administrative divisions. Then, for each address, among the character strings of the attribute keyword representing the city, other addresses having the same character string as the partial character string or all the character strings in the city name are referred to as “related address information”. ”, An address related data table 81 stored corresponding to each address may be created and stored in the facility name DB 27.

Here, an example of the address related data table 81 stored in the facility name DB 27 will be described with reference to FIG.
As shown in FIG. 11, the address related data table 81 includes “address information” and “related address information”. This “address information” corresponds to “address information” in the facility data table 52. In addition, in the “related address information”, the character string of the attribute keyword representing the municipality of each address stored in the “address information” is the same character string as the partial character string or the entire character string. Other addresses held in the city name are stored.

  For example, when the address information is “Shigehara Honmachi, Kariya City, Aichi Prefecture”, among the character strings of the town name “Shigehara Honmachi”, each other address “Aichi Prefecture” with a partial character string “Shigehara” in the town name “Kariya City Shimoshigehara Town, Aichi Prefecture Chiryu City Kamishigehara Town,...” Is stored in “Related Address Information” corresponding to the address information.

  When the address-related data table 81 is stored in the facility name DB 27, in S14, the CPU 41 creates the search target character string and stores it in the RAM 42, and then stores the “address information” stored in S12. Read again from the RAM. Then, the CPU 41 reads “related address information” corresponding to this “address information” from the address related data table 81, and among the character strings of attribute keywords representing the municipality of “address information”, “related address information”. A partial character string or the entire character string that matches the character string of the city name of each other address is extracted and stored in the RAM 42 as a “common address character string”.

  Thereafter, the CPU 41 reads from the RAM 42 the search target character string and the “common address character string” divided into keywords. Then, if there is a character string that matches the “common address character string” in the character string of each keyword of the search target character string, the CPU 41 sets the character string of the keyword to match the “common address character string”. After further segmentation by columns, it may be stored in the RAM 42 again as a search target character string.

  For example, as shown in FIGS. 6, 11, and 12, “Keyword” in the keyword priority table 61 includes each attribute keyword “Aichi Prefecture”, “Kariya City”, “Shigehara Honmachi”, “0566”,. .. and the basic keywords “factory”, “stock”, “company”,... Are stored in the order of priority of selection, and the “facility name” stored in S12 is “Menmihara-Haramachi Factory” ", The CPU 41 creates a search target character string" Yen / San / Shigehara Honmachi / Factory "and stores it in the RAM 42.

  Then, the CPU 41 reads out “Address information” stored in S12 above, “Shigehara Honmachi, Kariya City, Aichi Prefecture”. Then, the CPU 41 uses the “related address information” corresponding to the address information from the address related data table 81 as “address information” in the address related data table 81, that is, “Aichi “Karishige-cho, Kariya city, Kamishige-cho, Chiryu-shi, Aichi, etc.” is read out.

  Subsequently, the CPU 41 sets the character string “Shimoshige” of the city name of each other address of the “related address information” in the character string of the attribute keyword “Shigehara Honmachi” representing the city of “address information”. A partial character string “Shigehara” that matches “Hara, Kamishigeharacho,...” Is extracted and stored in the RAM 42 as a “common address character string”. Thereafter, the CPU 41 reads the search target character string “Yen / San / Shigehara Honmachi / Factory” and the common address character string “Shigehara” from the RAM 42.

  Then, the CPU 41 sets the common address character string “heavy” in the character string of the attribute keyword “shigeharahonmachi” among the keywords “yen”, “three”, “shigeharahonmachi”, and “factory” of the search target character string. Because there is a character string that matches "Hara", create the search target character string "Yen / San / Shigehara / Honmachi / Factory" by further dividing the attribute keyword "Shigehara Honmachi" with the character string "Shigehara" The data may be stored in the RAM 42.

  Thereafter, in S <b> 15, the CPU 41 reads the search target character string “Yen / San / Shigehara / Honmachi / Factory” delimited by the keyword from the RAM 42. Then, the CPU 41 separates the reading for each keyword of the search target character string “Yen / San / Shigehara / Honmachi / Factory” with a delimiter (for example, “/”), and stores the facility name stored in S12 above. The “reading” may be stored in the RAM 42 in time series in correspondence with the facility name.

  Therefore, in S16, the CPU 41 creates a facility name search data table 91 (facility name search information) shown in FIG. 13 in place of the facility name search data table 71 (facility name search information). Alternatively, it may be stored in the facility name DB 27.

  Thus, in addition to the effects of the above embodiment, even when a part of an attribute keyword representing a city name is input as a search word, the search word and the search word are read from the “reading” in the facility name search data table 91. After extracting readings of facility names that have matching keywords, facility names corresponding to each “reading” of the extracted facility names can be extracted as candidate facility names, and appropriate facility names are searched based on the entered search terms. It becomes possible to do.

[Other embodiments]
(B) Further, for example, a character string in which some or all of the numbers stored in the “telephone number information” of the facility data table 52 are worded is used as a “phone word matching keyword” for each telephone number. You may make it create the word alignment keyword table 101 memorize | stored corresponding to a part or all the numbers, and store in facility name DB27.

Here, an example of the word alignment keyword table 101 stored in the facility name DB 27 will be described with reference to FIG.
As shown in FIG. 14, the word alignment keyword table 101 includes “numbers of telephone numbers” and “word alignment keywords”. In this “number of telephone numbers”, a number that can be matched among a part or all of the numbers stored in the “phone number information” of the facility data table 52 is stored. In addition, a character string obtained by matching the numbers stored in the “number of telephone number” is stored in the “word alignment keyword”.

  For example, as shown in FIG. 14, the “word matching keyword” corresponding to “1010” of “number of telephone numbers” includes a character string “jujuju” representing a sound of “jujuju” when grilling meat. Is stored. In addition, in the “word matching keyword” corresponding to “phone number number” “1192”, a word string “i how many” indicating “good shoes” is stored.

  Further, when the word matching keyword table 101 is stored in the facility name DB 27, in S <b> 114, the CPU 41 selects each attribute keyword representing a telephone number as each attribute representing a “keyword” genre in the keyword priority table 61. Following the keyword, after being added and stored in the order of extraction, the “phone number information” stored in S12 is read again.

  Then, the CPU 41 sets a number that matches a part or all of each character string delimited by the delimiter (for example, “-”) of the “telephone number information” as “telephone number information” in the word matching keyword table 101. If it is stored in the “number”, the “word alignment keyword” corresponding to the number is read out. Subsequently, this “word matching keyword” is additionally stored following each attribute keyword indicating the telephone number of “keyword” in the keyword priority setting table 102 (see FIG. 15).

  Further, the CPU 41 stores a numerical value obtained by adding “1” to “priority” corresponding to the attribute keyword representing the last stored telephone number to “priority” corresponding to the added word matching keyword, and then executing the sub-processing. May be returned to the main flowchart, and the process may proceed to S14.

  For example, as shown in FIG. 3, “facility name” in the facility data table 52 is stored in “address information” corresponding to “Kana no Juju Miaicho” “Miaimachi, Okazaki City, Aichi Prefecture” When “Yakiniku / steak” is stored in “Genre information” and “0566-YY-1010” is stored in “Phone number information”, in S111 to S114, the CPU 41 determines each attribute keyword “Aichi”. “Prefecture”, “Okazaki city”, “Miai town”, “Yakiniku”, “Steak”, “0565”, “YY”, “1010” are extracted.

  Further, as illustrated in FIG. 14, when a number that matches the attribute keyword “1010” of the telephone number information is stored in “number of telephone number” of the word alignment keyword table 101, the CPU 41 stores the number “ The keyword “Juju” is extracted from the “word matching keyword” corresponding to “1010”.

  Then, as shown in FIG. 15, the CPU 41 extracts the extracted attribute keywords “Aichi Prefecture”, “Okazaki City”, “Miai Town”, “Yakiniku”, “Steak”, “0565”, “YY”, “1010”. ”And“ Juju ”are stored in the order of extraction from the top of“ Keyword ”in the keyword priority table 102. Further, the CPU 41 may store “1” to “9” in order in the “priority” corresponding to each keyword, then end the sub-process, return to the main flowchart, and proceed to S14.

  Subsequently, in S <b> 14, the CPU 41 reads out the “facility name” stored in S <b> 12 from the RAM 42. Then, the CPU 41 may use the keyword priority table 102 instead of the keyword priority table 61.

  For example, as shown in FIG. 15 and FIG. 16, the attribute keywords “Aichi”, “Okazaki City”, “Miaicho”, “Yakiniku”, “Steak”, “ “0565”, “YY”, “1010”, “Juju”, and the basic keywords “factory”, “stock”, “company”,... Are stored in the order of selection priority. When the “facility name” stored in S12 is “Kana no Juju Miaicho”, the CPU 41 first sets the character string of the facility name as a character string (keyword matching the attribute keyword “Miaicho”). ) Separated by “Miaicho”. That is, the CPU 41 divides the character string of the facility name into “Kana no Juju”, “Miaicho”, and “Store”.

  Subsequently, the CPU 41 replaces the character string “Kana no Juju” that does not match the attribute keyword “Miaicho” with the character string (word matching keyword) “Juju” that matches the attribute keyword “Juju”. punctuate. That is, the CPU 41 divides the character string of the facility name into “Kanano”, “Juju”, “Miaicho”, and “Store”, and searches for the character string “Kanano / Juju / Miai”. A “town / store” is created and stored in the RAM 42.

  Further, the CPU 41 reads out “related address information” corresponding to the address information from the address related data table 81, that is, “Miai Shinmachi, Okazaki City, Aichi Prefecture, Miai Nishimachi, Okazaki City, Aichi Prefecture,. Subsequently, the CPU 41 character strings “Miaishinmachi,” of the city names of the other addresses of the “related address information” among the character strings of the attribute keyword “Miaimachi” representing the city of “Address information”. A partial character string “Miai” matching “Miai Nishimachi,...” Is extracted and stored in the RAM 42 as a “common address character string”.

  Thereafter, the CPU 41 reads the search target character strings “Kana / Juju / Miaicho / Store” and “Common Address Character String” “Miai” from the RAM 42. Then, the CPU 41 sets the common address character string in the character string of the attribute keyword “Miaicho” among the keywords “Kanano”, “Juju”, “Miaimachi”, and “Store” of the search target character string. Since there is a character string that matches "Miai", the search target character string "Kana / Juju / Miai / Machi / Store" is created by further dividing the attribute keyword "Miaimachi" with the character string "Miai". Then, it may be stored in the RAM 42.

  Thereafter, in S <b> 15, the CPU 41 reads from the RAM 42 the search target character string “Kana / Juju / Miai / Machi / Store” divided into keywords. Then, the CPU 41 delimits the reading for each keyword of the search target character string “Kana / Juju / Miai / Machi / Store” with a delimiter (for example, “/”) and stores it in S12. The facility name “reading” may be stored in the RAM 42 in time series in correspondence with the facility name.

  Therefore, in S16, the CPU 41 creates the facility name search data table 103 (facility name search information) shown in FIG. 17 in place of the facility name search data table 71 (facility name search information). Alternatively, it may be stored in the facility name DB 27.

  As a result, in addition to the effects of the other embodiments described above, even when a word matching keyword corresponding to a part or all of the telephone number is input as a search word, the “reading” in the facility name search data table 103 is also read. ”Can be extracted as a candidate facility name after extracting the reading of the facility name having the keyword matching the search term from the extracted facility name, and based on the input search term It is possible to search for an appropriate facility name.

DESCRIPTION OF SYMBOLS 1 Information preparation apparatus 11 Data storage part 14 Operation part 15 Liquid crystal display 19 Card R / W part 25 Keyword DB
27 Facility name DB
41 CPU
42 RAM
43 ROM
51 Basic Keyword Dictionary Table 52 Facility Data Table 61, 102 Keyword Priority Table 71, 91, 103 Facility Name Search Data Table 81 Address Related Data Table 101 Word Matching Keyword Table

Claims (7)

Attribute information storage means for storing a plurality of facility names and attribute information of each of the plurality of facility names in association with each other;
For each of the plurality of facility names, an attribute keyword is acquired from the attribute information corresponding to the facility name, and a character string of the facility name is divided into a plurality of keywords based on the attribute keyword to create a search target character string A search target character string creating means,
Facility name search information creating means for creating facility name search information that associates the plurality of facility name search target character strings created by the search target character string creating means with the plurality of facility names;
An information creating apparatus characterized by comprising: A basic keyword storage means for storing a plurality of basic keywords;
If there is a keyword that matches the attribute keyword in the character string of the facility name, the search target character string creating unit divides the character string of the facility name into keywords that match the attribute keyword, and then 2. The information creation device according to claim 1, wherein the search target character string is created by dividing a character string of a part of the name character string that does not match the attribute keyword into a keyword that matches the basic keyword. . The attribute information includes address information of a facility corresponding to the facility name,
The information creating apparatus according to claim 1, wherein the attribute keyword acquired from the address information includes an attribute keyword representing an administrative district. The attribute information includes genre information of a facility corresponding to the facility name,
The information creating apparatus according to claim 1, wherein the attribute keyword acquired from the genre information includes an attribute keyword representing a genre. The attribute information includes telephone number information of a facility corresponding to the facility name,
The information generating apparatus according to any one of claims 1 to 4, wherein the attribute keyword acquired from the telephone number information includes an attribute keyword representing a telephone number. For each of a plurality of facility names, an attribute keyword is acquired from attribute information stored in advance associated with the facility name, and a character string to be searched is obtained by dividing the character string of the facility name into a plurality of keywords based on the attribute keyword Search target string creation process to create a column,
A facility name search information creation step of creating facility name search information in which the search target character strings of the plurality of facility names created in the search target character string creation step and the plurality of facility names are associated with each other;
An information creation method executed by an information creation device characterized by comprising : In a computer comprising attribute information storage means for storing a plurality of facility names and attribute information of each of the facility names in association with each other,
For each of the plurality of facility names, an attribute keyword is acquired from the attribute information corresponding to the facility name, and a character string of the facility name is divided into a plurality of keywords based on the attribute keyword to create a search target character string Search target character string creation process,
A facility name search information creation step of creating facility name search information in which the search target character strings of the plurality of facility names created in the search target character string creation step and the plurality of facility names are associated with each other;
A program for running

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