JPH10149369A - Method and device for supporting setting of keyword at the time of storing/retrieving information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve information retrieval from a database and to easily execute keyword setting operation at the time of storing/retrieving information. SOLUTION: Plural terms are arranged and stored in a term group 6b stored in a storage part 6 and one or more pattern groups each of which consists of the combination of plural subject attributes are stored in a pattern group 6a in each presctibed specialized field and a corresponding term in the term group 6b is related to each subject attribute. In the case of setting up a keyword at the time of storing information by an indexing part 4 or retrieving information by a retrieving part 5, plural prescribed specialized fields are displayed on a display part 2, one pattern corresponding to a selected prescribed specialized field and constituted of the combination of plural subject attributes is displayed, and when one of the displayed subject attributes is selected, terms corresponding to the selected subject attribute are displayed. When a required term out of the displayed terms is selected, a pair of the selected term and the subject attribute is set up as a keyword and then a management part M executes information storing or retrieving processing by using a pair of the keyword and the subject attribute.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] The present invention relates to the setting (indexing) of an appropriate keyword corresponding to predetermined information when the predetermined information is stored in a database and the predetermined information when retrieving the predetermined information from the database. The present invention relates to a method and an apparatus for supporting keyword setting at the time of information storage and retrieval, which support setting of an appropriate keyword corresponding to the information retrieval with high accuracy and easy information retrieval.

[0002]

2. Description of the Related Art Conventionally, in information retrieval, a keyword for extracting information is added to this information. When storing the information in the database, an appropriate keyword corresponding to the information is set (indexing), and the set keyword is stored in the database as additional information of the information together with the information.
On the other hand, when searching for information from the database, an appropriate keyword corresponding to the information to be searched is set, and the information to be searched is searched based on the set keyword. As a tool for assigning keywords, an independent classification table, glossary or a thesaurus that is a controlled and hierarchical glossary has been created, and a manual has been prepared to use these effectively. doing.

[0003]

However, in the conventional keyword setting, at the time of registering information, it takes skill to find a correspondence between the information and a field of the information or a group of keywords. Preparations such as training are required, and at the time of searching for information, the above-mentioned tools and a manual for searching are used, so that the operation is complicated, and there is a problem that experience for this is required.

In addition, in the conventional keyword setting at the time of indexing or search, the accuracy of information search is not always good, and there is a problem that variations occur and a reliable search cannot be performed. Here, the accuracy of the information search is defined as the relevance rate, which is the percentage of the search results that truly meet the requirements, and the relevance information that was originally searched for in the relevance information. This is determined based on two evaluation criteria, that is, the recall rate, which is the ratio of the information obtained.

[0005] The reason why the accuracy of this information retrieval is not always good is that the patterns of information contents are diversified, and the keywords assigned to these patterns are diversified if the degree of specificity is increased in order to improve the relevance rate. , Increasing the likelihood of use of this keyword and resulting in information leakage, reducing recall,
This is because, in order to reduce the leakage of the information, if the specificity of the keyword is reduced and a general term is used as the keyword, the relevance is reduced.

[0006] In order to prevent such uncertainties, a link is provided to link relatively few general terms with numbers or the like, and the terms themselves are small in number, but various expressions are possible. And, by distinguishing the role (role) of the term that differs depending on the information content, for example, by adding symbols that distinguish whether the same alcohol is a raw material, a synthetic target, a solvent, etc. Some enhance suitability.

[0007] However, the information retrieval using such links and rolls is actually unreliable due to variations or forgetting to attach by the user who actually performs the information retrieval.

[0008] That is, the accuracy of the information retrieval described above is not always good. In the conventional information storage / retrieval, it is necessary for the person searching for the information to accurately predict the method accumulated by the person accumulating the information. This is probably because the keyword was selected and set by guesswork.

[0009] In recent years, full-text search that does not require indexing, that is, full-text search, is becoming popular as a simple and easy information search method because the entire text can be easily electronically recorded. So, although there is an advantage of searching for new words in the latest trendy terms, depending on the natural language written and written, the variety of expressions is limited by manual indexing controlled by a thesaurus and glossary. Beyond the case, it is even more difficult to foresee this, and it has been demonstrated that as the amount of stored information increases, the accuracy of information retrieval becomes increasingly worse (eg, full-text information retrieval).
mation retrieval) Information Pro by David C. Blair et al.
cessing & Management 26, 3, p. 437-447, 1990), the recall is 20% or less on average, and the precision is 79% on average.

Accordingly, the present invention provides a method and apparatus for supporting keyword setting at the time of information storage and retrieval, which eliminates such problems, improves the accuracy of information retrieval, and facilitates information storage and retrieval operations. The purpose is to do.

[0011]

According to a first aspect of the present invention, an appropriate keyword corresponding to the predetermined information is set when the predetermined information is stored in the database, and the predetermined keyword is set when the predetermined information is retrieved from the database. In a keyword setting support method at the time of information storage / search for supporting setting of an appropriate keyword corresponding to information, one or more patterns which are classified for each predetermined specialty field and are composed of a combination of a plurality of subject attributes for each specialty field A group and a predetermined term group having at least one term associated with each subject attribute in each pattern are set in advance, and when the predetermined information is accumulated and searched, the predetermined term group is handled. After selecting the desired pattern, and further selecting a desired subject attribute in the desired pattern, one or more terms corresponding to the selected desired subject attribute are entered in the predetermined pattern. Display is removed from the word group,
When a desired term is selected from the displayed one or more terms, the selected desired term is set as a keyword corresponding to the predetermined information.

[0012] A second invention is characterized in that, in the first invention, the predetermined specialty field includes the predetermined specialty field, and is obtained by selecting a specialty field higher than the predetermined specialty field. .

[0013] In a third aspect based on the first or second aspect, the keyword is set in a pair with the subject attribute of the keyword, and the set keyword and the subject attribute of the keyword are associated with each other. The pairs are linked to each other.

In a fourth aspect based on the first to third aspects, the predetermined information is stored in the database using the set keyword, or the predetermined information is stored using the set keyword. Is retrieved from the database.

According to a fifth aspect of the present invention, an appropriate keyword corresponding to the predetermined information is set at the time of storing the predetermined information in the database and the appropriate keyword corresponding to the predetermined information at the time of searching the predetermined information from the database. In a keyword setting support device at the time of information accumulation / search for supporting setting of a keyword, a term group storage means for organizing and storing a plurality of terms, and at least one or more combinations of a plurality of subject attributes for each predetermined specialty field A pattern group storage unit that stores a pattern group and stores a term corresponding to the subject attribute among the plurality of terms for each of the subject attributes, an instructing unit that provides a predetermined instruction, and the instructing unit According to the predetermined instruction, the predetermined specialized field, a pattern comprising a combination of a plurality of subject attributes corresponding to the predetermined specialized field, and a pattern corresponding to the subject attribute And display means for sequentially displaying a term that,
When accumulating or searching for the predetermined information, a keyword setting means for selecting a term corresponding to the subject attribute and setting the selected term as a keyword corresponding to the predetermined information is provided. I do.

In a sixth aspect based on the fifth aspect, the pattern group storage means includes the predetermined specialty field, stores the classified specialty field according to a higher-ranked specialty field, and stores the classified specialty field. Is characterized in that the upper specialty field is displayed at first, and the predetermined specialty field is selected by selecting a desired higher specialty field from the higher specialty field.

In a seventh aspect based on the fifth or sixth aspect, the keyword is set in a pair with the subject attribute of the keyword, and the keyword is set with the subject attribute of the keyword. The pairs are linked to each other.

In an eighth aspect based on the fifth to seventh aspects, a predetermined special field, pattern, or subject attribute in the pattern group storage means and association of a predetermined term in the subject attribute are added. Editing means for performing a process of changing / changing.

According to a ninth invention, in the fifth to eighth inventions, an information storage means for storing the predetermined information in the database using a keyword set by the keyword setting means; Information searching means for searching the database for the predetermined information using a set keyword.

In a tenth aspect based on the fifth to ninth aspects, the term group storage means stores the plurality of terms hierarchically by classifying them by a predetermined category or facet, and stores the pattern group. The means associates a term corresponding to the subject attribute with a hierarchy, and the display means hierarchically displays, for each subject attribute, terms lower than the hierarchy of the associated term.

[0021]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing a configuration of a database management device according to an embodiment of the present invention. In FIG.
The database management device is realized by a pointing device such as a keyboard or a mouse, and is realized by an input unit 1 for inputting various instructions, a CRT display, and the like.
A display unit 2 for displaying and outputting various information; a printing unit 3 for printing and outputting search results and the like in accordance with an instruction from the input unit 1; a database unit DB for storing various information; storing and storing information such as document information in the database unit DB; It has a management unit M that processes information retrieval and manages a database unit DB, and a control unit C that performs overall control of each unit described above. This database management device can be connected to an external network N via a communication control unit CC indicated by a broken line.

The management unit M performs an indexing unit 4 for setting a keyword when storing information, a search unit 5 for setting a keyword when searching for information, and a keyword setting process for the indexing unit 4 and the search unit 5. The storage unit 6 stores a pattern group 6a and a term group 6b that are referred to at the time, and an editing unit 7 that edits the pattern group 6a or the term group 6b.
Is added to the keyword of the information to be stored and is stored in the database unit DB, and the information stored in the database unit DB is searched based on the keyword set by the search unit 5.

The term group 6b is stored as a glossary or thesaurus arranged in correspondence with a predetermined category or facet.

The pattern group 6a is classified into a pattern group that appears for each specialized field, and each pattern has a combination of attributes (subject attributes) related to a subject. Each subject attribute includes one of the terms in the term group 6b. , One or more terms corresponding to the subject attribute are associated.

This pattern differs for each specialized field,
This is a combination of a search purpose or a search direction expressed as a subject attribute. For example, there is a certain pattern in the field of synthetic chemistry such as "Synthesizing another substance C from raw material A and raw material B by a certain method, examining its properties, and examining its use". Another pattern in the field of pharmacology is that "if substance C is administered to animal F, disease G is cured and metabolite H is excreted in urine." Of course, there are different patterns in the same specialty.

Here, the pattern is a combination of the subject attributes as described above, and is not a sentence as in the above-described example. Of course, even within the same specialty, there are different patterns, that is, different combinations of subject attributes.

By using such a pattern based on the combination of the subject attributes, a term group classified simply by a category or a facet is given a meaning, and is associated with the setting of a keyword group.

For example, the above-mentioned substance C has appeared in both the pattern in the field of synthetic chemistry and the pattern in the field of pharmacology, and the keyword of the substance C is set in a keyword group in each pattern. Only makes sense.

That is, the keywords to be set according to the embodiment of the present invention are meaningful only when they fall within the framework of the pattern composed of the combination of the subject attributes, and are selected within the framework of the pattern. This makes the identification of information to be stored or searched more objective,
It will be universal.

Here, a general information storage processing procedure will be described with reference to FIG. 2 and FIG.

FIG. 2 is a flowchart showing a procedure of an information storage process involving setting of a keyword.
Is displayed on the display screen (step 101). This specialized field is divided into large specialized fields as a first stage, as shown in FIG. For example, "chemistry", "pharmacy", "physics", "communications", "machines", "economics", "sports", and the like. This specialized field has a rectangular area, for example, and is displayed as a button having a character string in this area.

One of these buttons is selected and instructed using a pointing device such as a mouse (step 10).
2), a detailed specialty field (second selection screen) corresponding to the specialty field indicated by the selected button is displayed (step 103). For example, when “pharmacy” is selected from the specialty fields shown in FIG. 3A, the detailed specialty field corresponding to the “pharmacy” is displayed and output on the display screen as a new display. For example, as shown in FIG.
“Physiology”, “hygiene pharmacy”, “medicine chemistry”, “pharmaceutical manufacturing” and the like are displayed. Of course, if there are different patterns in the same detailed specialty, for example, "Pharmacology 1"
It is distinguished and displayed as “Pharmacology 2”.

Here, when the "return" button is selected (step 104), the flow shifts to step 102, and FIG.
Is displayed.

When any button of the displayed detailed specialty field is selected (step 105), a combination of the subject attributes corresponding to the selected detailed specialty field (third selection screen) is displayed (step 105). 106). For example, FIG.
When the button of “pharmacology” is selected on the second selection screen shown in (b), FIG.
A third selection screen shown in (c) is displayed. On this third selection screen, the "Research purpose"
“Target drug”, “administration organism”, “related organ”, “administration organism”, “administration method”, “experiment method”, “disease symptoms”,
One pattern is displayed by a combination of the subject attributes such as “pharmacological effect”, “action function”, “side effect”, and “related substance”. Here, each subject attribute is displayed as a GUI using buttons.

Here, when the "return" button is selected (step 107), the flow shifts to step 105, and FIG.
Is displayed.

When any button of the displayed subject attribute is selected (step 108), a set of terms associated with the selected subject attribute is obtained from the term group 6b and displayed (step 108). 109). In the third selection screen shown in FIG. 3 (c), the subject attribute of "research purpose" is selected, and terms corresponding to this "research purpose" include "safety test", "basic pharmacology research", and "first Phase clinical experiment ",
Four terms of "animal experiment" are obtained from term group 6b,
The acquired terms are displayed in a selection area below the “Research Purpose” button.

Here, when any one of the displayed terms is selected (step 110), the selected term is set as a keyword (step 111). Of course, when a plurality of terms are selected, a plurality of keywords are set, and the same applies to other subject attributes. The plurality of keywords are set in pairs with respective subject attributes. For example, in FIG. 3C, the term “safety test” is selected for the subject attribute “research purpose”, and at least the term “safety test” is set in combination with the subject attribute “research purpose”. Is done. That is, for the keyword “safety test”, a role of the subject attribute “research purpose” is set. In most cases, a plurality of theme attributes paired with a keyword are set, but the plurality of pairs of the keyword and the theme attribute are also linked.

Thereafter, it is determined whether or not there is a keyword to be added (step 112). If the keyword is not added, a keyword group paired with the set subject attribute is stored in the database DB. The information to be stored is added to the information to be stored (step 113), the information to be stored is stored in the database unit DB (step 114), and the process is terminated.

Here, the relationship between pharmacology patterns, ie, combinations of subject attributes, and terms will be described in detail.

First, the subject attributes of one pattern in the detailed specialty field “pharmacology” are “research purpose”, “target drug”,
"Administration organism", "related organ", "administration method", "experimental method", "disease symptoms", "pharmacological effect", "action function",
“Pharmacokinetics”, “side effects”, and “related substances”, and a pattern of “pharmacology” is configured as a combination of these subject attributes. The following terms are associated with these subject attributes in advance. That is, It is. Here, the term indicated by “•” indicates a hierarchy in the thesaurus.

For each subject attribute of such a pattern, for example, Research purpose: Safety test Target drug: Substance A Administered organism: Mouse Related organs: Liver, brain Administration method: Subcutaneous administration Experimental method: Blood glucose measurement Disease Symptoms:-Pharmacological effect: Blood glucose lowering action Function: Insulin secretion promotion Pharmacokinetics: Blood concentration Side effects: Heart palpitations Related substances: Select a term like nicotine, and set the role of keyword and subject attribute by this be able to. In this case, two terms “liver” and “brain” may be selected for the same subject attribute, such as related organs. Moreover, it is not necessary to select a term like a disease symptom or a related substance. Also, all pairs of keywords and subject attributes are linked. That is, the research purpose: safety test pair to the related substance: nicotine pair are all linked and set.

Of course, when storing different information for the same pharmacology, different keyword groups will be set.

For example, Research purpose: Phase 1 clinical experiment Drug: Substance B Administered organism:-Related organ: Blood vessels, heart Administration method: Oral administration Experimental method: Blood glucose level measurement, ECG measurement Disease symptoms: Angina pharmacological effect : Coronary artery dilatation effect Function: calcium channel inhibition Pharmacokinetics: blood concentration, tissue distribution Side effects: chills, palpitations Related substances: Caffeine The term, ie, keyword setting. In this case, some items are selected in common even if the information to be stored is different. For example, blood glucose measurement in "experimental method", blood glucose lowering effect in "pharmacological effect",
Alternatively, it is palpitations in “side effects”. Even if such a common item is selected for the same subject attribute, there is no problem because the stored information is characterized by the role of the pair of the keyword and the subject attribute and the link of these pairs. On the other hand, efficient characterization can be achieved with fewer terms. Further, for example, the target drug: substance A is characterized by a link relationship with the related substance: nicotine, and the target drug: substance B is characterized by a link relationship with the related substance: caffeine.

Next, a general information search processing procedure involving setting of a keyword will be described with reference to FIG. FIG.
In the keyword setting process for searching for desired information from the database unit DB, the keyword setting process at the time of storing information shown in FIG. 2 (steps 101 to 112) as shown in steps 201 to 212
The processing is exactly the same.

After the keyword setting process, that is, the process of setting the role and the link by the pair of the keyword and the subject attribute, based on the set keyword group (including the role and the link relationship), the management unit M sets the database unit. D
A process for searching for information corresponding to the keyword group from B is performed (step 213), and the process ends.

As described above, the common keyword setting process is performed both when storing information and when searching for information, and the keyword setting process using a pattern based on a combination of subject attributes is performed. In addition, the keyword setting process can be performed only by selecting and specifying, so that the keyword setting process is facilitated, and the time required for information storage and information search operations is reduced.

By the way, as shown in FIG.
Are integrated as a thesaurus, the terms corresponding to the subject attributes are also displayed according to the hierarchical system of the thesaurus. If the terms of a certain hierarchy are set corresponding to the subject attributes, the term Are displayed, and the keyword is selected.

Here, some examples of patterns that are combinations of subject attributes with respect to detailed specialty fields are introduced. For example, when the detailed specialty field is “synthetic chemistry”, the patterns include “starting substance” and “intermediate”. Body, product,
It is composed of a combination of the subject attributes of "catalyst type", "catalyst composition", "chemical reaction", "reaction conditions", and "product use". When the detailed specialized field is “physical property measurement”, the pattern is “research purpose”, “target substance”, “target phenomenon”, “measurement value”, “measurement method”, “substance classification”, “substance It is composed of a combination of the subject attributes of “use”. Furthermore, when the detailed specialized field is “analytical chemistry”, the patterns include “research purpose”, “analytical sample”, “analyte”,
It is composed of a combination of the subject attributes of "substance classification", "sample application", "sample origin", "analysis method", and "analytical instrument".

Further, when the detailed specialty field is “architecture / construction”, patterns include “construction”, “architecture design”,
It consists of the following subject attributes: "construction method", "construction material", "construction machine", "building structure", "building area", "construction / work type", "construction management", and "construction evaluation". If the detailed specialized field is “construction accident”, “construction type”, “construction / work type”, “accident site”, “accident type”, “accident”, “cause of accident”, “prevention” It consists of a combination of subject attributes such as "measures".

As described above, the element name of the same subject attribute may be common to the detailed specialty field, but the item corresponding to the target attribute differs depending on the relationship with the detailed specialty field. For example, the “research purpose” in “physical property measurement” and the “research purpose” in “analytical chemistry” naturally correspond to different items, and different roles are set. However, "Architecture
Most or all of the items corresponding to the subject attribute may be the same, such as "construction / work type" in "construction" and "construction / work type" in "construction accident".

Here, an application example of the above-described embodiment will be described. This application example is a case where the detailed specialty is determined from the beginning, and the detailed specialty is “construction accident”.

FIG. 6 is a view showing a display screen at the time of storing information. The area 22 shows the information to be stored itself, and the content is a "schematic diagram and its outline" of the construction accident. On the other hand, an area 21 shows a keyword setting screen. Here, "Document No."
This is a search item, and data corresponding to the search item is input. Data based on such a search item has very high specificity of information, but lacks generality.

On the other hand, "construction / construction type",
"Accident site", "Work type", "Accident type", "Human cause", "Physical cause", "Environmental cause", "Management cause", "Human measures", "Physical measures" Is displayed as the element name of the subject attribute, and if the person who should accumulate the information inputs the keyword without permission, the accuracy of the information retrieval for the information to be accumulated decreases. Therefore, by associating terms corresponding to such subject attributes in advance and selecting an item corresponding to the subject attribute of this information,
When the role in which the subject attribute and the item (keyword) are paired is automatically set, and when there are a plurality of roles, the link is automatically set, so that the accuracy of information search can be improved.

When a keyword is actually set on the screen shown in FIG. 6, by clicking on an underlined character string portion with a pointing device such as a mouse, an item group corresponding to the clicked subject attribute is displayed. Is done.

For example, in the case of the subject attribute of “construction / construction type”, the following items are displayed.・ Bridge construction ・ Sewage construction ・ Public facilities construction ・ High-rise construction ・ ・ Tower construction ・ ・ Building construction ・ Seawall construction ・ Housing construction ・ Dredging work ・ Landscaping work ・ Land development ・ Dam construction ・ Railway construction ・ Road construction ・ Subway Construction work, underground burial work, tunnel work and irrigation canal construction. Of course, a plurality of items can be set as keywords.

In the case of the subject attribute of "accident type", the following items are displayed. That is: ・ Failure accident ・ ・ Live burying (collapse accident) ・ ・ Leak ・ ・ Burning ・ ・ Electric shock ・ ・ Cold accident (freezing, frostbite) ・ ・ Collision ・ ・ ・ Car collision ・ ・ ・ People, human collision ・ ・ ・ People, Car collision ・ ・ Injury ・ ・ ・ Face injuries ・ ・ ・ Chest injuries ・ ・ ・ Head injuries ・ ・ ・ Abdominal injuries ・ ・ ・ Injuries in limbs ・ ・ ・ ・ Hand injuries ・ ・ ・ ・ ・ ・ ・ Hand injuries ・ ・ ・ ・ Foot injuries · · · Lumbar injury · · · · · · · · · · · · · · · · · · Fallen · · · Heat stroke · · · Falling objects · Disease · poisoning (relatively chronic injury) · · Sensory organ disorders · · · Eye disorders ·・ ・ ・ Eye flickering ・ ・ ・ ・ ・ ・ Eye foreign matter ・ ・ ・ Nasal dysfunction ・ ・ ・ Hearing loss ・ ・ High pressure disorder (occult sickness) ・ ・ Oxygen deficiency ・ ・ Nervous system disorder ・ ・ Vibration disorder (white wax disease)・ ・ Asbestos disease (asbestos disease, lung cancer) ・ ・ Skin disorder.

By matching the pattern of the combination of the subject attributes and selecting an item corresponding to each subject attribute, an appropriate keyword setting at the time of storing the information, that is, the role of the keyword and the subject attribute and their links Is easy, the keyword setting at the time of information search is also easy, and the accuracy of the information search can be stably improved.

In the keyword setting process at the time of the information search, a display screen similar to the area 21 shown in FIG. 6 is displayed, one or more keywords or search items corresponding to the information to be searched are selected or input, and a search instruction is given. As a result, a search process is performed based on the roles of these keywords and the subject attributes, their links, and data on the search items.

In the above-described embodiment or application example, the subject attribute or the item has been described as the subject attribute name or the item name, respectively. However, in actual information processing, a unique identifier is assigned, and this identifier is assigned. May be associated with each other.

Further, in the above-described embodiment or application example, with the selection of a keyword, the subject attribute of the keyword is automatically set as a role, and a combination of a pair of the keyword and the subject attribute is automatically set as a link. However, the present invention is not limited to this, and the search may be performed by ignoring the subject attribute and searching by a set of the set keywords (items) themselves. On the contrary, such a search is effective when it is desired to perform a cross-sectional search in a wide field, and it is desirable that the search can be realized by a switching instruction.

The editing unit 7 shown in FIG. 1 can perform editing processing such as addition and change of the pattern group 6a and the term group 6b described above. In particular, by using this editing unit, in the case of personal use, it is possible to set a pattern based on a combination of a specialized field and a subject attribute suitable for an individual, and a correspondence relationship between terms corresponding to each subject attribute.

[0063]

As described above in detail, according to the present invention, an appropriate keyword corresponding to the predetermined information is set when the predetermined information is stored in the database, and the keyword is set when the predetermined information is retrieved from the database. When setting appropriate keywords corresponding to predetermined information, one or more pattern groups composed of a combination of a plurality of subject attributes for each specialized field and classified for each specialized field, and for each subject attribute in each pattern A predetermined term group having one or more terms associated with the predetermined information is set in advance, and a desired pattern corresponding to the predetermined specialized field is selected at the time of storing and searching for the predetermined information. When a desired subject attribute in a desired pattern is selected, one or more terms corresponding to the selected desired subject attribute are taken out from the predetermined term group and displayed, and the displayed If the selection of a desired term from among one or more terms, and to set the desired terms, which is the selected as the keywords corresponding to the predetermined information.

Therefore, the difference between the information storage side and the information search side is minimized, and the information search side can easily foresee the information storage side without inevitability, and the accuracy of the information search can be improved. Has advantages.

Further, the keyword setting is performed only by selecting and instructing, so that there is an advantage that the keyword setting operation is facilitated.

Further, in the present invention, the predetermined specialty field includes the predetermined specialty field and is obtained by selecting a higher-level specialty field than the predetermined specialty field. There is an advantage that it is possible to narrow down easily.

The keywords are set in pairs with the subject attributes of the keywords, and since these pairs are linked, there is an advantage that the accuracy of information storage and retrieval is further improved. .

Further, the editing means adds / specifies a predetermined specialty field, a pattern, or a subject attribute in the pattern group storage means and a correspondence between a predetermined term in the subject attribute /
Since the changing process is performed, there is an advantage that the keyword can be set flexibly at the time of information storage / retrieval.

In the term group, a plurality of terms are classified according to a predetermined category or facet and stored hierarchically, and in the pattern group, terms corresponding to subject attributes are associated with the hierarchy and displayed. In this case, since terms below the term hierarchy associated with each subject attribute are displayed in a hierarchical manner, there is an advantage that it is easier to determine a keyword.

[Brief description of the drawings]

FIG. 1 is a diagram showing a configuration of a database management device according to an embodiment of the present invention.

FIG. 2 is a flowchart illustrating an information storage processing procedure involving setting of a keyword.

FIG. 3 is a diagram showing a display screen when a keyword is set.

FIG. 4 is a flowchart illustrating an information search processing procedure involving setting of a keyword.

FIG. 5 is a diagram showing an example of a term group based on a thesaurus.

FIG. 6 is a diagram showing a display screen when applied to information on “construction accident”.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Input part 2 ... Display part 3 ... Printing part 4 ... Indexing part 5 ... Search part 6 ... Storage part 6a ... Pattern group 6b ... Term group 7 ... Editing part M ... Management part DB ... Database part C ... Control part CC
... Communication control unit N ... Network

Claims (10)

[Claims] 1. A method of setting an appropriate keyword corresponding to predetermined information when storing predetermined information in a database and setting an appropriate keyword corresponding to the predetermined information when searching predetermined information from a database. In a method for supporting keyword setting at the time of information storage / search to be supported, one or more pattern groups which are classified into predetermined specialty fields and are composed of a combination of a plurality of subject attributes for each specialty field, and each subject attribute in each pattern A predetermined term group having one or more terms associated with the predetermined information is set in advance, and at the time of storing and searching for the predetermined information, selecting a desired pattern corresponding to the predetermined specialized field, When a desired subject attribute in a desired pattern is selected, one or more terms corresponding to the selected desired subject attribute are extracted from the predetermined term group and displayed. When a desired term is selected from the displayed one or more terms, the selected desired term is set as a keyword corresponding to the predetermined information. Keyword setting support method at the time. 2. The information storage / retrieval method according to claim 1, wherein the predetermined specialty includes the predetermined specialty, and is obtained by selecting a specialty higher than the predetermined specialty. Keyword setting support method. 3. The keyword is set as a pair with a subject attribute of the keyword, and the pair of the set keyword and the subject attribute of the keyword is linked to each other. 3. A method for supporting keyword setting at the time of storing and retrieving information according to claim 1. 4. The method according to claim 1, wherein the predetermined information is stored in the database using the set keyword, or the predetermined information is searched from the database using the set keyword. 4. A method for supporting keyword setting at the time of storing and searching information according to claim 1. 5. Setting of an appropriate keyword corresponding to the predetermined information when storing the predetermined information in the database and setting of an appropriate keyword corresponding to the predetermined information when retrieving the predetermined information from the database. A keyword setting support device for storing and retrieving information, comprising: a term group storage unit for organizing and storing a plurality of terms; and a combination of a plurality of subject attributes for each predetermined specialized field.
A pattern group storage unit that stores the above-described pattern group and stores a term corresponding to the subject attribute among the plurality of terms for each subject attribute, and a command unit that gives a predetermined command; Display means for sequentially displaying the predetermined specialty field, a pattern composed of a combination of a plurality of subject attributes corresponding to the predetermined specialty field, and terms corresponding to the subject attributes in accordance with a predetermined instruction of the instruction means; And a keyword setting unit for selecting a term corresponding to the subject attribute and storing the selected term as a keyword corresponding to the predetermined information at the time of storing or searching for the information. Keyword setting support device for storage / search. 6. The pattern group storage means includes the predetermined specialty field, classifies and stores the specialty field in a higher rank than the predetermined specialty field, and the display means displays the higher specialty field initially. 6. The apparatus according to claim 5, wherein the predetermined specialized field is selected by selecting a desired upper specialized field from the upper specialized fields. 7. The keyword is set as a pair with a subject attribute of the keyword, and the pair of the set keyword and the subject attribute of the keyword is linked to each other. 7. The keyword setting support device according to claim 5, wherein the information is stored and retrieved. 8. An editing means for adding / changing a predetermined specialty field, a pattern, or a subject attribute in the pattern group storage means and a correspondence between predetermined terms in the subject attribute. 8. The keyword setting support device at the time of information storage / retrieval according to claim 5, wherein: 9. An information storage unit for storing the predetermined information in the database using a keyword set by the keyword setting unit; and storing the predetermined information using a keyword set by the keyword setting unit. 6. An information retrieval means for retrieving from a database.
9. A keyword setting support device at the time of information storage / retrieval according to claim 8. 10. The term group storage means classifies the plurality of terms by a predetermined category or facet and stores the terms hierarchically, and the pattern group storage means stores the terms corresponding to the subject attributes together with the hierarchy. 10. The information storage / retrieval method according to claim 5, wherein the display unit hierarchically displays, for each of the subject attributes, terms below the level of the associated term. Keyword setting support device.