JP2007011721A - Document retrieval device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a document retrieval device capable of efficiently retrieving documents more helpful to users. <P>SOLUTION: The document retrieval device 10 comprises a retrieval condition input section 1 inputting retrieval conditions; a document attribute storage section 3 storing document names of documents stored in a document database 2 and document category information on the documents; a document extracting section 6 referring to the document database 2 and the document attribute storage section 3 to extract a document based on the retrieval conditions input from the retrieval condition input section 1; and a retrieval result output section 7 outputting a document name extracted by the document extracting part 6. The document extracting section 6 refers to the document database 2 and the document attribute storage section 3 to extract the document based on a document keyword and a document category input from the retrieval condition input section 1 and further to extract other documents belonging to the same document category as the extracted document. Extracted document information is output to a display part based on the sequence of operation phase. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a document search apparatus.

A document management apparatus that manages a document in association with a business process is disclosed in, for example, Patent Document 1.
JP 2003-296369 A

  However, the conventional document search apparatus has the following problems. (1) When there are a plurality of similar jobs, a document of a plurality of jobs is displayed as a search result, but it cannot be determined which job is closer to a job that is more necessary. (2) When there are a plurality of similar tasks, a plurality of documents are displayed as search results, but it cannot be determined which document is more useful for the task.

  SUMMARY An advantage of some aspects of the invention is that it provides a document search apparatus that can efficiently search for a document that is more useful for a user.

  Claim 1 is a document search apparatus for searching a predetermined document from a document database for storing documents, which includes a search condition input unit for inputting a search condition, a document name of a document stored in the document database, and a document. Refer to the document attribute storage unit, the document database, and the document attribute storage unit that store the business category information that indicates whether the document was created in the business, the business phase information that indicates the phase in which the document was created. The search condition input unit refers to the corresponding document extraction unit that extracts documents corresponding to the document keyword, the business category, and the business phase, the document database, and the document attribute storage unit that are input from the search condition input unit. Related to extracting documents that fall under the input document keyword and business category and have not been extracted by the first document extraction unit Comprising a write extractor, the information about the document extracted by the corresponding document extracting section, and the information about the document extracted by the related document extracting unit, a search result output unit which outputs based on the order of business phase a.

  According to the document search device of claim 1, since the document of the search result (= corresponding document) and the document related to the business (= related document) are output, the user of the document search device can You can know the background information that was made. Thereby, for example, when a large number of corresponding documents are detected by the search, it is possible to grasp which corresponding document is a really necessary document. In addition, displaying related documents can help the user understand the relevant documents.

  Claim 2 is a document search apparatus for searching a predetermined document from a document database for storing documents, which includes a search condition input unit for inputting a search condition, a document name of a document stored in the document database, and a document. Document attribute storage unit that stores business category information that indicates whether the job was created, a stored document number management unit that manages the number of documents stored in the document database for each creator, and each document category, and stored documents In the number management unit, an expert judging unit for judging a creator whose number of created documents in the business category is a predetermined number or more as an expert of the business category, and an accesser who accesses each document stored in the document database. Document keywords input from the search condition input unit with reference to the accessor management unit to be managed, the document database, and the document attribute storage unit, and A document extraction unit that extracts a document corresponding to a business category, and a search result output that outputs information on the document extracted by the document extraction unit based on the number of accesses by an accessor determined by the expert determination unit as an expert A part.

  According to the document retrieval apparatus of claim 2, since the order of documents frequently used by experts is displayed, the user of the document retrieval apparatus can easily determine which document is more useful for business. Can do.

  According to the present invention, it is possible to provide a document search apparatus that can efficiently search for a document that is more useful for a user. For example, the user can know which document is really necessary by displaying the background information on which the document was created and the information on the document referred to by the expert.

(Configuration of Document Search Device 10)
A configuration example of the document search apparatus according to the present invention will be described. Referring to FIG. 1, a document search apparatus 10 includes a search result input unit 1, a document database 2, a document attribute storage unit 3, a stored document number management unit 4, an operation history management unit 5, a document extraction unit 6, and a search result output. Part 7. The document search apparatus 10 is realized by, for example, a server type electronic computer.

  The search result input unit 1 accepts a search condition input from a user of the document search device 10. A user inputs a search condition from a terminal connected to the document search apparatus 10 via a network, for example.

  The document database 2 is a database that accumulates and stores data of various documents.

  The document attribute storage unit 3 stores document attribute information stored in the document database 2. FIG. 2 is a diagram illustrating an example of data stored in the document attribute storage unit 3. The attribute information includes, for example, the document name of the document, business category information indicating the business in which the document was created, business phase information indicating the phase in which the document was created, and the name of the document creator. These data are input by the creator when the created document is registered in the document DB. Alternatively, information in the document attribute storage unit 3 may be automatically created based on the created document data at the time of registration in the document database 2.

  The stored document number management unit 4 manages the number of documents stored in the document database 2. FIG. 3 is a diagram illustrating an example of data stored in the stored document number management unit 4. For example, the number of documents for each business category and each creator is managed.

  The operation history management unit 5 manages an access history for each document in the document database 2. FIG. 4 is a diagram illustrating an example of data stored in the operation history management unit 5. In the operation history management unit 5, the number of accesses to each document in the document database 2 and the number of accesses to each document in the expert database 2 are recorded in addition to information on the accessor. Although not shown, the operation history management unit 5 may record the access history in detail.

  In this document management apparatus 10, a creator who has created many documents belonging to a specific business category is defined as an expert. For example, referring to FIG. 3, the expert in the business category “AAA” is the X section manager and the Y chief manager who have a large number of created documents. Z employees and B employees with a small number of created documents are judged not to be experts. Therefore, the “number of accesses by the expert” in the table of FIG. 4 indicates the total number of accesses by the section manager X and the head Y in this case.

  The document extraction unit 6 refers to the document database 2, the document attribute storage unit 3, the stored document number management unit 4, etc., and extracts a document that meets the search condition input from the search result input unit 1 from the document database 2. To do.

  The search result output unit 7 outputs information about the document extracted by the document extraction unit 6. The output destination is, for example, a user terminal of the document search apparatus 10.

  FIG. 5 shows an example of a search condition input screen displayed on the display unit of the user's terminal. On the search condition input screen, a text box 11 for inputting a document keyword, a text box 12 for inputting a business category, a text box 13 for inputting a business phase, and a search button 14 are displayed. In addition, check boxes 15a to 15c for specifying the type of search are also displayed.

  The document keyword is, for example, a keyword, a word, or a lexical word that appears in a document in the document database 2. The business category corresponds to the business category that is a document management unit in the document attribute storage unit 3, and the business phase corresponds to the business phase of the document attribute storage unit 3.

  There are three types of check boxes for specifying the type of search. “Normal search” specified by the check box 15a includes a document keyword input from the text box 11 and belongs to the business category input from the text box 12 (hereinafter referred to as “corresponding document”). Search).

  The “related document search” specified by the check box 15b is to search for the corresponding document and other documents belonging to the same business category as the corresponding document (hereinafter referred to as “related document”). is there.

  The “expert reference document search” specified by the check box 15c is a search for documents accessed by a large number of experts among documents hit by the above-mentioned corresponding document search or related document search. .

(Document Search Processing Example 1)
FIG. 6 shows an example of a processing flow when a document search is performed by the document search apparatus 10.

  In step S10, the search condition input unit 10 accepts input of search conditions by the user. In this example, it is assumed that the user inputs “YYYY” as the document keyword, “AAA” as the business category, and “result” as the business phase.

  In step S <b> 12, the document extraction unit 6 extracts a document including the document keyword “YYYY” input from the text box 11 on the search condition input screen from the document database 2. In this example, as shown in FIG. 7, the three documents “111.doc”, “112.doc”, and “119.doc” include the word “YYYY” in the document database 2. Suppose.

  In step S14, the document extraction unit 6 refers to the document attribute storage unit 3, applies to the business category input from the text box 12 on the search condition input screen, and also applies to the business phase input from the text box 13. A corresponding document is extracted from the document database 2.

  In step S16, the document hit in both step S12 and step S14 is extracted. The document extracted in step S16 corresponds to the “corresponding document” defined above, but in this example, it is assumed that there is no corresponding case.

  In step S18, the process branches according to the input from the check box 15. When the user selects the related document search (when the check box 15b is ON), the process proceeds to step S20. In step S20, the document extraction unit 6 refers to the document attribute storage unit 3, and refers to another document belonging to the same business category as the business category of the document extracted in step S16 (hereinafter referred to as “related document”). ).

  In step S22, the result extracted by the document extraction unit 6 is displayed on the display unit of the user's terminal via the search result output unit 7.

  FIG. 8 shows a search result screen displayed on the display unit at this time. It is displayed so that you can see at a glance which phase of the business the related document was created.

  In this search, there is no case that corresponds to “document keyword: YYYY, business category: AAA, business phase: result” desired by the user, and all the document names displayed on this search result screen are related document names. is there. In addition, the document names “111.doc”, “112.doc”, and “119.doc” displayed with an underline are different in the business phase but correspond to “document keyword: YYYY, business category: AAA”. It is. Therefore, although the keyword “YYYY” does not appear in the “result” phase document, the keyword “YYYY” appears in the other phase documents. .doc "," 140.doc ", or" 150.doc "may have a description related to" YYYY ", and the information that the user wants to know is described in these documents. There is a possibility.

  Here, as described above, the “result” phase does not include any document including the document keyword “YYYY”, while the other phases include documents including the document keyword “YYYY”. Examples of cases are as follows. The first is a case in which terms are used differently depending on document creators, and different words are used to represent the same meaning. Secondly, it is conceivable that the business situation has changed, and the business target in the initial “investigation” phase or the “planning” phase is no longer the business target in the “result” phase.

  On the other hand, when the user selects the normal search (when the check box 15a is ON), the process proceeds to step S24. At this time, as shown in FIG. 9, the characters “No corresponding item” are displayed on the display screen of the user terminal on the display unit of the user terminal.

  This search result screen may be composed of an HTML document. At this time, when the user clicks the location of the document name, the user can access the document database 2 and browse the contents of the document.

  Further, in the above search example, no “corresponding document” was hit, but if a search was made for the “execution” phase (when “execution” was entered in the text box 13), “119.doc” "Is hit as" corresponding document ". At this time, as shown in FIG. 10, “119.doc” is displayed in a larger character size than other document names on the display screen of the user terminal.

(Example 2 of document search)
Another example of search processing using the document search apparatus 10 will be described. FIG. 11 shows another processing flow example when a document search is performed by the document search apparatus 10.

  In step S30, the search condition input unit 10 accepts input of search conditions by the user. FIG. 12 shows the input screen at this time. Here, it is assumed that the user inputs only the business category in the text box 12 and does not input the document keyword in the text box 11 and the business phase in the text box 13. Further, regarding the check box 15, the following description will be made assuming that only the check box 15c is selected (expert reference document search is selected).

  In step S 32, the document extraction unit 6 refers to the document attribute storage unit 3 and extracts a document corresponding to the business category input from the text box 12 on the search condition input screen from the document database 2.

  In step S34, the document extraction unit 6 refers to the operation history management unit 5 and orders the documents extracted in step S32 based on the number of accesses by the expert.

  In step S36, the search result output unit 7 outputs the document names of the extracted documents according to the ordering.

  FIG. 13 is a search result screen in which the output of the search result output unit 7 is displayed on the display unit of the user's terminal. On the search result screen, “111.doc”, “112.doc”, “120.doc”, “116.doc”, and “113.doc” are displayed as the documents that many experts have accessed.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is shown not by the above description of the embodiments but by the scope of claims for patent, and is intended to include meanings equivalent to the scope of claims for patent and all modifications within the scope.

  For example, as a method of defining an expert, in addition to selecting “a person with a large number of created documents in a single business category” as described above, an expert may define “the number of created documents in a plurality of similar business categories”. “Many people” may be defined as experts.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Search result input part 2 Document database 3 Document attribute storage part 4 Stored document number management part 5 Operation history management part 6 Document extraction part 7 Search result output part

1 is a diagram illustrating a configuration of a document search device 10. FIG. 4 is a diagram illustrating an example of data stored in a document attribute storage unit 3. FIG. 4 is a diagram illustrating an example of data stored in a stored document number management unit 4. FIG. 6 is a diagram illustrating an example of data stored in an operation history management unit 5. FIG. An example of a search condition input screen displayed on a display unit of a user terminal is shown. A processing flow when a document search is performed by the document search apparatus 10 is shown. The document hit in step S12. The search result screen displayed on a display part is shown. The search result screen displayed on a display part is shown. The search result screen displayed on a display part is shown. It is a processing flow when a document search is performed by the document search apparatus 10. The input screen in step S30 is shown. . It is a processing flow when a document search is performed by the document search apparatus 10.

Claims (2)

A document search device for searching a predetermined document from a document database storing documents,
A search condition input part for inputting a search condition;
Document attribute storage for storing the document name of the document stored in the document database, the business category information indicating in which business the document was created, and the business phase information indicating in which phase of the business the document was created And
A document extraction unit that extracts documents corresponding to a document keyword, a job category, and a job phase input from the search condition input unit with reference to the document database and the document attribute storage unit;
A related document that refers to the document database and the document attribute storage unit, and that corresponds to the document keyword and business category input from the search condition input unit and extracts other documents not extracted by the corresponding document extraction unit An extractor;
A document search apparatus comprising a search result output unit that outputs information related to a document extracted by a corresponding document extraction unit and information related to a document extracted by a related document extraction unit based on the order of business phases.
A document search device for searching a predetermined document from a document database storing documents,
A search condition input part for inputting a search condition;
A document attribute storage unit for storing the document name of the document stored in the document database and the business category information indicating in which business the document was created;
A stored document number management unit for managing the number of documents stored in the document database for each creator and each document category;
In the stored document number management unit, an expert determination unit that determines a creator whose number of created documents in the business category is a predetermined number or more as an expert of the business category;
An accessor management unit for managing an accesser who has accessed each document stored in the document database;
A document extraction unit for extracting a document corresponding to the business keyword and the document keyword input from the search condition input unit with reference to the document database and the document attribute storage unit;
A document search apparatus comprising: a search result output unit that outputs information on a document extracted by a document extraction unit based on the number of accesses by an accessor determined by the expert determination unit as an expert.

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