JP2008234550A - Expert information retrieval device, expert information retrieval method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an expert information retrieval device by which an expert can be found by inputting a retrieval keyword to a specific field in a system for sharing a document by a plurality of users. <P>SOLUTION: When a retrieval request specifying the retrieval keyword is transmitted from a user terminal 200, a retrieval means 130 of a server computer 100 retrieves a document including the retrieval keyword in the document from a document storage device 110. Next, an importance calculation means 140 determines importance scores of the retrieval keyword in the retrieved document. Next, a user-based expert degree determination means 150 determines a registered user of the retrieved document by referring to the document storage device 110 and calculates expert degree scores of the registered user of the retrieved document based on the registered user and the importance score of the retrieval keyword in the document. Next, a presentation means 160 selects or ranks the registered user based on the expert degree scores and transmits retrieval results of the expert to the user terminal 200. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an expert information search apparatus capable of finding experts and specialized organizations for a specific field in a system in which information is shared among a plurality of users, such as a document management system in a company.

  In recent years, finding an expert in a specific field in an environment where a plurality of people such as companies are active has become important in order to work efficiently. As an information processing system for that purpose, there is a system such as KnowWho that manages what kind of expertise each user has in a database and can search for specialists. However, in order to construct and maintain the KnowWho database, the expertise of each user must be constantly investigated and reflected in the database, making it difficult to maintain the system.

  Therefore, for example, Patent Document 1 proposes a technique that allows a person having predetermined knowledge to be easily found in a system that shares information among a plurality of users, such as a document management system in a company. In the technique described in Patent Document 1, a document including an input search keyword is searched, a score of each registrant of the document is calculated based on a reference history of each searched document, and based on the calculated score To rank and present document registrants. Here, documents that have many references from users belonging to the same group, documents that are referenced by various users, and documents that are continuously referenced for a certain period of time have a high score, and many documents with high scores are registered. The ranking of the users who have been increased.

JP 2006-023961

  According to the above-described prior art, there is no need to construct a special database such as the KnowWho database, and a person who has a predetermined knowledge using a history of document registration and reference performed through the operation of a normal document management system. Can find out. However, since the importance of the search keyword entered as a search request in the document is not considered, experts in different fields different from the field specified by the keyword entered in the search request are ranked higher. There is a problem that. For example, the document A searched with the keyword “security” includes the keyword in the document, but there is almost no description about the document, and even if the document is written on the Internet in general, the number of references If there are too many, the registrant of document A will be ranked higher as a security expert.

  Also, since companies often work in organizational units, it is more important to find an organization that has expertise in a specific field than to find individuals who have expertise in a specific field. is there. However, the conventional expert search is aimed at individuals, and it has not been possible to search for a specialized organization having knowledge in a specific field.

  The present invention has been proposed in view of such circumstances. The purpose of the present invention is to search keywords for a specific field in a system in which information is shared among a plurality of users, such as a document management system in a company. It is an object to provide an expert information retrieval apparatus that can input and find experts and specialized organizations.

  A first expert information retrieval apparatus according to the present invention includes a document storage device that stores a document and information of a registered user of the document, and a document that includes a search keyword input from a search request source in the document. Search means for searching, importance calculation means for determining the importance score of the search keyword in the searched document by analyzing the document, and referring to the document storage device for a registered user of the searched document And determining the degree of expertise of each registered user based on the registered user of the searched document and the importance score of the search keyword in the document. And a registered user of a document that includes the search keyword in the document based on the calculated specialty score and selected or ranked and submitted to the search request source. And a presenting means for.

  The second expert information search device of the present invention is input from a document storage device that stores documents and information of registered users of the documents, an organization information storage unit that stores information related to the user's organization, and a search request source. A search unit that searches the document storage device for a document that includes the search keyword in the document, and determines a registered user of the searched document with reference to the document storage device, and belongs to the determined registered user An organization that determines an organization with reference to the organization information storage unit, and calculates a specialty score of the organization to which the registered user of the searched document belongs based on the registered user of the searched document and its belonging organization Select or rank an organization to which a registered user of a document that includes the search keyword in the document belongs, based on another specialized degree determination means and the calculated specialty score And a presenting unit which presents the search request source by.

  The third expert information search device of the present invention is input from a document storage device that stores documents and registered user information of the document, an organization information storage unit that stores information related to the organization to which the user belongs, and a search request source. Search means for searching the document storage device for documents containing the search keyword in the document, importance calculation means for analyzing and determining the importance score of the search keyword in the searched document, The registered user of the retrieved document is determined with reference to the document storage device, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit, and the registered document is registered. Based on the importance of the search keyword in the user, the organization to which the document belongs, and the degree of expertise of the organization to which the registered user of the searched document belongs Based on the degree-of-organization expertise determination means to calculate and the calculated specialty score, the organization to which the registered user of the document containing the search keyword in the document belongs is selected or ranked and presented to the search request source And presenting means.

  The first expert information search method of the present invention uses a computer having a document storage device for storing a document and registered user information of the document, and searches for an expert related to desired knowledge from the registered users. An expert information search method, wherein the computer searches the document storage device for a document containing a search keyword input from a search request source in the document, and the computer is searched for A second step of determining an importance score of the search keyword in the document by analyzing the document; and the computer determines a registered user of the searched document with reference to the document storage device, and Based on the registered user of the searched document and the importance score of the search keyword in the document, the registered user of the searched document A third step of calculating a specialty score; and the computer selects or ranks a registered user of a document including the search keyword in the document based on the calculated specialty score, And a fourth step of presentation.

  The second expert information retrieval method of the present invention uses a computer having a document storage device that stores documents and information of registered users of the documents, and an organization information storage unit that stores information related to the organization to which the user belongs. An expert information search method for searching a specialized organization related to desired knowledge from organizations to which the registered user belongs, wherein the computer includes a document containing a search keyword input from a search request source in the document. A first step of searching from a document storage device, and the computer determines a registered user of the searched document with reference to the document storage device, and the organization to which the determined registered user belongs is said organization information Based on the registered user of the retrieved document and the organization to which the retrieved document belongs, the registered user of the retrieved document belongs. A second step of calculating an organization specialty score; and the computer selects or ranks an organization to which a registered user of a document that includes the search keyword in the document belongs based on the calculated expertise score. And a third step presented to the search request source.

  The third expert information retrieval method of the present invention uses a computer having a document storage device that stores documents and information of registered users of the documents, and an organization information storage unit that stores information related to the organization to which the user belongs. An expert information search method for searching a specialized organization related to desired knowledge from organizations to which the registered user belongs, wherein the computer includes a document containing a search keyword input from a search request source in the document. A first step of searching from a document storage device; a second step of determining an importance score of the search keyword in the searched document by analyzing the document; and The registered user of the retrieved document is determined with reference to the document storage device, and the organization to which the determined registered user belongs is determined as the organization The information is determined with reference to the information storage unit, and based on the registered user of the searched document, its affiliated organization, and the importance of the search keyword in the document, the organization of the registered user of the retrieved document belongs. A third step of calculating a specialty score; and the computer selects or ranks an organization to which a registered user of a document that includes the search keyword in the document belongs based on the calculated specialty score. And a fourth step presented to the search request source.

  According to a first program of the present invention, there is provided a computer having a document storage device for storing a document and registered user information of the document, and a document including a search keyword input from a search request source in the document from the document storage device. Search means for searching, importance calculation means for determining the importance score of the search keyword in the searched document by analyzing the document, and referring to the document storage device for a registered user of the searched document And determining the degree of expertise of each registered user based on the registered user of the searched document and the importance score of the search keyword in the document. And a registered user of a document that includes the search keyword in the document, based on the calculated specialty score and selected or ranked. Characterized in that to function as presentation means for presenting to the requester.

  A second program of the present invention inputs a computer having a document storage device for storing a document and information of a registered user of the document and an organization information storage unit for storing information related to the user's organization from a search request source. A search unit that searches the document storage device for a document that includes the search keyword in the document, and determines a registered user of the searched document with reference to the document storage device, and belongs to the determined registered user The organization to be determined is determined with reference to the organization information storage unit, and the specialty score of the organization to which the registered user of the searched document belongs is calculated based on the registered user of the searched document and the organization to which the searched document belongs. Based on the specialized degree determination means by organization and the calculated professional degree score, the organization to which the registered user of the document that includes the search keyword in the document belongs is selected. Other is characterized in that to function as presentation means for presenting to the search request source ranks.

  According to a third program of the present invention, a computer including a document storage device that stores a document and information of a registered user of the document, and an organization information storage unit that stores information related to the organization to which the user belongs is input from a search request source. Search means for searching the document storage device for a document containing the searched search keyword in the document, and importance calculation means for analyzing and determining the importance score of the search keyword in the searched document; Determining a registered user of the retrieved document with reference to the document storage device and determining an organization to which the determined registered user belongs with reference to the organization information storage unit; Based on the registered user, the organization to which the registered user belongs, and the importance of the search keyword in the document, the organization to which the registered user of the searched document belongs A search request by selecting or ranking an organization to which a registered user of a document that includes the search keyword in a document belongs based on the calculated professional score, and a specialized degree determination unit for each organization that calculates a degree score It is made to function as a presentation means to present originally.

"Action"
In the first expert information retrieval apparatus and method and program of the present invention, the document storage device stores the document and the registered user information of the document, and the searcher finds an expert in a certain field. Therefore, when a certain search keyword belonging to the field is input, the search means searches the document storage device for a document containing the input search keyword in the document, and then the importance calculation means is searched The importance score of the search keyword in the document is determined by analyzing the document, and then the user-specific specialty determination means determines the registered user of the searched document with reference to the document storage device. And calculating the specialty score of the registered user of the searched document based on the registered user of the searched document and the importance score of the search keyword in the document Then, the presenting means selects or ranks a registered user of the document including the search keyword in the document based on the calculated specialty score, and makes the searcher an expert in the field related to the search keyword. Present.

  In the second expert information retrieval apparatus and method and program of the present invention, the document storage device stores the document and the registered user information of the document, and the organization information storage unit stores the information related to the user's belonging organization. When a searcher inputs a certain search keyword belonging to a certain field in order to find a specialized organization related to the certain field, the search unit includes a document including the input search keyword in the document. Next, the organization-specific specialty determination means determines the registered user of the searched document with reference to the document storage device, and the organization to which the determined registered user belongs is stored in the organization information storage. The degree of specialization of the organization to which the registered user of the searched document belongs is determined based on the registered user of the searched document and the organization to which the searched user belongs. Next, the presenting means selects or ranks the organization to which the registered user of the document containing the search keyword in the document belongs based on the calculated specialty score, and A specialized organization in the field related to the search keyword is presented.

  In the third expert information retrieval apparatus and method and program of the present invention, the document storage device stores the document and the registered user information of the document, and the organization information storage unit stores the information on the user's affiliated organization. When a searcher inputs a certain search keyword belonging to a certain field in order to find a specialized organization related to the certain field, the search unit includes a document including the input search keyword in the document. Then, the importance calculation means determines the importance score of the search keyword in the searched document by analyzing the document, and then the organizational specialization determination means determines the search The registered user of the registered document is determined with reference to the document storage device, and the organization to which the determined registered user belongs is determined with reference to the organization information storage unit. Based on the registered user of the searched document, its organization and the importance of the search keyword in the document, calculate the specialty score of the organization to which the registered user of the searched document belongs, The presenting means selects or ranks the organization to which the registered user of the document including the search keyword in the document belongs based on the calculated specialty score, and instructs the searcher to the specialized organization in the field related to the search keyword. Present.

  According to the first expert information search apparatus, method and program of the present invention, in a system in which information is shared among a plurality of users such as a document management system in a company, a search keyword for a specific field is input. Thus, it is possible to search for a document registrant who has specialized knowledge about a specific field indicated by the search keyword. This is because the professional score of the document registrant is calculated in consideration of the importance in the document of the search keyword input as the search request.

  According to the second expert information search apparatus and method and program of the present invention, in a system in which information is shared among a plurality of users such as a document management system in a company, a search keyword for a specific field is input. Thus, it is possible to search for an organization having specialized knowledge about a specific field indicated by the search keyword. The reason is that the specialty score of the organization to which the user who registered the document including the search keyword input as the search request belongs is calculated.

  According to the third expert information search apparatus and method and program of the present invention, in a system in which information is shared among a plurality of users such as a document management system in a company, a search keyword for a specific field is input. Thus, it is possible to search for an organization having specialized knowledge about a specific field indicated by the search keyword. The reason is that the specialty score of the organization to which the user who registered the document belongs is calculated in consideration of the importance in the document of the search keyword input as the search request.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

“First Embodiment”
Referring to FIG. 1, in the first embodiment of the present invention, a server computer 100 and a plurality of user terminals 200 are connected to each other through a network 300 so that they can communicate with each other.

  The server computer 100 is a computer constituting a document management system for sharing a document among users of a plurality of user terminals 200, and includes a document storage device 110, a document management unit 120, a search unit 130, an importance level calculation unit 140, User-specific specialty degree determination means 150, presentation means 160, and communication means 170 are provided.

  The document storage device 110 includes a document storage unit 111 and an attribute storage unit 112. The document storage unit 111 stores a document registered by the user. The document may include not only text information but also multimedia information such as images and sounds. The attribute storage unit 112 stores document attribute information stored in the document storage unit 111.

  FIG. 2 shows an example of document attribute information stored in the attribute storage unit 112. In this example, the document ID for uniquely identifying the document stored in the document storage unit 111, the name of the user who registered the document, and the document registration date are stored as one piece of attribute information. The text information extracted from the document is also stored as one piece of attribute information.

  The communication unit 170 transmits / receives data to / from the user terminal 200 through the network 300. The network 300 is configured by a LAN, a WAN, the Internet, or the like.

  In response to a request from the user terminal 200, the document management unit 120 has a function of registering a document transmitted from the user terminal 200 in the document storage device 110, and transmits a document registered in the document storage device 110 to the user terminal 200. It has functions such as browsing. At the time of document registration, the document itself is stored in the document storage unit 111, and each attribute information of the document is stored in the attribute storage unit 112.

  The search means 130 searches the document storage device 110 for a document containing the search keyword in the document in accordance with a search request specifying the search keyword from the user terminal 200, and a search result including a list of corresponding document IDs and the search keyword. Is transmitted to the importance degree calculation means 140. Whether or not the search keyword is included in the document is determined based on whether or not the text information of each document stored in the attribute storage unit 112 matches the search keyword.

The importance calculation means 140 has a function of calculating the importance score of the search keyword in each searched document. As the importance score of the search keyword, for example, TF-IDF can be used. When using TF-IDF, the importance score F _id (KW) of the search keyword in each searched document is calculated by the following equation, for example. In this case, the greater the value, the higher the importance.

F _id (KW) ＝ TF * log (N / DF)… (1)

  Here, id is the document ID, KW is the search keyword, TF is the number of appearances of the search keyword in the document, N is the number of all documents stored in the document storage device 110, and DF is in all the documents. This is the number of documents containing the search keyword. TF and DF can be extracted by morphological analysis of the text information of the document. Note that the calculation of the importance score of the search keyword is not limited to the one using the above formula (1), and other arbitrary methods such as calculation using only the number of occurrences of the search keyword in the document may be used. good.

  Each time the importance calculation unit 140 receives a search result including a list of document IDs and a search keyword from the search unit 130, the importance calculation unit 140 calculates an importance score of the search keyword in each document in the list, At the same time, the information is transmitted to the user-specific specialized degree determination means 150.

  Note that each time a new document is registered in the document storage device 110 or deleted by the document management unit 120, the importance calculation unit 140 performs morphological analysis on the text information of each document in the attribute storage unit 112. Then, the words included in each document are extracted as keywords, the importance score of each keyword in each document is calculated, and stored in the document storage device 110 in the form of a table as shown in FIG. 3, for example, When a search result including a list of document IDs and a search keyword is received from the search unit 130, the table may be searched to obtain an importance score of the search keyword in each document.

  Further, the importance score of the search keyword in each document calculated by the expression (1) may be corrected according to the registration date of the document. In this case, it is preferable to correct the importance score so that the new document has a higher importance score than the document with the old registration date. This correction can be performed, for example, by multiplying the calculation result of the equation (1) by a weighting factor that approaches 0 as the registration date is newer than 0 and 1 or less.

  The user-specific specialty determination unit 150 determines the registered user of the document with each document ID in the search result list received from the importance calculation unit 140 with reference to the attribute storage unit 112 of the document storage device 110, and this determination Based on the registered user and the importance score of the search keyword in each document in the list, it has a function of calculating the specialty score of the registered user of each searched document by the following formula.

Specialized score of registered user = Σ _id F _id (KW)… (2)

  That is, in the case of the present embodiment, the sum of the importance scores of the search keywords for each document registered by the user is set as the specialty score of the user.

  The user-specific specialty determination unit 150 transmits the search result with the determination result including the registered user and the specialty score thereof to the presentation unit 160.

  The presentation unit 160 arranges the registered users in the determination result attached to the search result received from the user-specific specialty determination unit 150 in descending order of the specialty score, and as an expert search result regarding the search keyword in the search result. , To the search request source user terminal 200. At that time, a link to the document of the registrant in the search result may be provided. Alternatively, only registered users ranked higher than a certain threshold value may be selected and presented.

  Next, the overall operation of the present embodiment will be described.

  When the document management unit 120 receives a document registration request including a document to be registered from the user terminal 200 via the communication unit 170, the document management unit 120 registers the document in the document storage unit 111 of the document storage device 110, and attribute information of the document. Is registered in the attribute storage unit 112. When the document management unit 120 receives a document browsing request designating a document ID from the user terminal 200 via the communication unit 170, the document management unit 120 reads the document having the document ID from the document storage device 110 and sends it to the requesting user terminal 200. Send. The function of the document management unit 120 relating to such document registration and browsing is the same as that of the existing document management system.

  Next, an operation when a search request specifying a search keyword is received from the user terminal 200 will be described.

  When the server computer 100 receives a search request specifying a search keyword from any of the user terminals 200, the communication unit 170 starts the processing shown in FIG. First, the search unit 130 searches the document stored in the document storage device 110 for a document that includes the search keyword specified in the search request received from the communication unit 170 (S101). Then, the search result including the ID list of the searched document and the search keyword is transmitted to the importance degree calculation means 140 (S102).

  For example, when the user of the user terminal 200 wants to search for an expert in the security field, when a search request specifying “security” as a search keyword is transmitted to the server computer 100, the search means 130 is stored in the document storage device 110. Search documents related to security. For example, when text information as shown in FIG. 2 is extracted from each document in advance in the attribute storage unit 112 of the document storage device 110, the search unit 130 searches for document ID2, ID3, ID5, and ID6, The search result including the list of document IDs and the search keyword “security” is transmitted to the importance calculation means 140.

  The importance calculation means 140 calculates the importance score of the search keyword in the document indicated by each document ID included in the received search result using the above-described formula (1) (S103). For example, when the importance of each keyword in each document is as shown in FIG. 3, when the document ID 2, ID 3, ID 5, ID 6 is searched with the search keyword “security”, the importance score of the document ID 2 is 5, The importance score of document ID 3 is 4, the importance score of document ID 5 is 2, and the importance score of document ID 6 is 1. Then, the calculated importance score of each document is attached to the search result and transmitted to the user-specific specialty level determination means 150 (S104).

  The user-specific specialty determination unit 150 first determines a registered user corresponding to each document ID included in the received search result with reference to the attribute storage unit 112 (S105). Next, the specialty score of each registered user is calculated by the above-described equation (2) (S106). For example, when document ID2, ID3, ID5, and ID6 are included in the search result, referring to the attribute information in FIG. 2, Mr. Nakagawa and Mr. Sato are extracted as registered users, and the search keyword “security” Calculate professional score. In this case, the importance of the search keyword “security” in document ID 2 registered by Mr. Nakagawa is 5 and the importance in document ID 5 is 2. Therefore, as shown in FIG. A degree score is required. Similarly, the importance level of the search keyword “security” in document ID 3 registered by Mr. Sato is 4 and the importance level in document ID 6 is 1. Therefore, as shown in FIG. A degree score is required.

  The user-specific specialty determination unit 150 transmits a determination result including the registered user for each document ID, the specialty score of the registered user, and the number of registered documents of the registered user to the presentation unit 160 along with the search result. (S107).

  The presenting means 160 arranges the received registered users in descending order of their specialty scores, and transmits them to the search request source user terminal 200 as a search result of experts related to the search keyword (S108). For example, when the determination result as shown in FIG. 6 is transmitted from the user-specific specialty degree determination means 150, the presentation means 160 sorts the user names in ascending order by the specialty degree score. For example, as shown in FIG. The search result in which the user names are arranged in descending order is transmitted to the user terminal 200. The user terminal 200 displays the received search result on the display screen. The presenting means 160 may display the number of registered documents of each user and link the documents as shown in FIG. 7 so that the registrant's documents can be referred to immediately from the search result screen.

  As described above, according to the present embodiment, in a document sharing system in which a document is shared among a plurality of users, an expert related to a search keyword specified by a search request input from the user terminal 200 is A document including a search keyword can be selected or ranked among users registered in the document storage device 110, and the professional score of the document registrant is calculated in consideration of the importance of the search keyword in the document. Therefore, the accuracy of selection or ranking can be improved.

“Second Embodiment”
Referring to FIG. 8, in the second embodiment of the present invention, a server computer 400 and a plurality of user terminals 200 are connected to each other through a network 300 so as to communicate with each other.

  Compared with the server computer 100 in the first embodiment shown in FIG. 1, the server computer 400 does not have the importance degree calculation means 140, and instead of the user-specific specialty degree determination means 150, the organization-specific specialty degree determination means 420. And an organization information storage unit 410 is newly provided.

  The organization information storage unit 410 stores information related to the user's organization. An example is shown in FIG. In this example, the organization information storage unit 410 stores a user name and an organization name to which the user belongs in association with each other. Such a correspondence table may be created by mechanically extracting the relationship between a person and an organization from a telephone directory or organization table in a company, or may be created manually.

  The organization-specific specialty determination unit 420 receives the search result from the search unit 130, determines a registered user of the searched document with reference to the attribute storage unit 112, and stores the determined organization to which the registered user belongs. It has a function of calculating the specialty score of the organization to which the registered user of the retrieved document belongs, which is determined with reference to the section 410, by the following formula.

  Expertise score of organization i = C (i) (3)

  Here, C (i) is the total number of documents including search keywords registered by users belonging to the organization i. That is, in this embodiment, the specialty score of each organization for the field related to the search keyword is calculated as the total number of documents including the search keyword registered by the user belonging to the organization.

  The organization-specific specialty level determination means 420 transmits a determination result including the specialty level score of the organization to which the registered user belongs to the presentation means 160 along with the search result.

  Next, the overall operation of the present embodiment will be described. Since the function of the document management unit 120 related to document registration and browsing is the same as that of the existing document management system, the operation when a search request specifying a search keyword is received from the user terminal 200 will be described below.

  When the server computer 400 receives a search request specifying a search keyword from any of the user terminals 200 via the communication unit 170, the server computer 400 starts the process shown in FIG. First, the search unit 130 searches the document stored in the document storage device 110 for a document that includes the search keyword specified in the search request received from the communication unit 170 (S201). Then, a search result including the list of searched document IDs and the search keyword is transmitted to the organization-specific specialty level determination means 420 (S202).

  For example, when the user of the user terminal 200 wants to search for an organization strong in the security field, when a search request specifying “security” as a search keyword is transmitted to the server computer 400, the search means 130 is stored in the document storage device 110. Search documents related to security. For example, when text information as shown in FIG. 2 is extracted from each document in advance in the attribute storage unit 112 of the document storage device 110, the search unit 130 searches for document ID2, ID3, ID5, and ID6, The search result including the list of document IDs and the search keyword “security” is transmitted to the organization-specific specialty level determination means 420.

  The organization-specific specialty level determination means 420 first determines a registered user corresponding to each document ID included in the received search result with reference to the attribute storage unit 112 (S203). Next, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit 410 (S204). Then, the professionality score of each determined organization is calculated by the above-described equation (3) (S205).

  In the case of the above-described example, the organization-specific specialty level determination unit 420 extracts Mr. Nakagawa and Mr. Sato as registered users with reference to the attribute information in FIG. 2, and further refers to the organization information storage unit 410 to Mr. Nakagawa. Investigate the organization to which Sato belongs. In the example shown in FIG. 9, Mr. Nakagawa and Mr. Sato belong to the first development department. Further, since the document containing the search keyword “security” registered by Mr. Nakagawa is two documents ID2 and ID5, and the document containing the search keyword “security” registered by Mr. Sato is one document ID3, the field of security The specialization score of the first development department regarding is 3.

  The specialized degree-of-speciality determining unit 420 transmits a determination result including the organization to which the registered user belongs, the degree of specialty score, and the number of registered documents of the organization to the presentation unit 160 along with the search result (S206).

  The presenting means 160 arranges the organizations included in the received determination result in descending order of the specialty score, and transmits it to the search request source user terminal 200 as the search result of the specialized organization related to the search keyword (S207). For example, when the determination result as shown in FIG. 11 is transmitted from the organization-specific specialty level determination unit 420, the presentation unit 160 sorts the organization names by the specialty level score in ascending order, for example, as shown in FIG. Search results in which organization names are arranged in descending order of scores are transmitted to the user terminal 200. The user terminal 200 displays the received search result on the display screen. The presentation means 160 may display the number of registered documents of each organization and link the documents as shown in FIG. 12 so that the organization documents can be referred to immediately from the search result screen. Alternatively, only organizations ranked higher in the specialty score than a certain threshold may be selected and presented.

  As described above, according to the present embodiment, in a document sharing system in which a document is shared among a plurality of users, an organization strong in the field related to the search keyword specified by the search request input from the user terminal 200 is obtained. The document including the search keyword can be selected or ranked from the organizations to which the user registered in the document storage device 110 belongs.

“Variation 1 of the second embodiment”
In the second embodiment, the organization-specific expertise determination unit 420 calculates the specialty score of each organization for the field related to the search keyword as the total number of documents including the search keyword registered by the user belonging to the organization. However, in the first modification, in addition to the total number of documents including the search keyword registered by the users belonging to the organization, the specialty score is calculated based on the number of users who registered the documents.

  Specifically, as shown in FIG. 13, for example, the organization-specific specialty determination unit 420 determines that the total number of documents including the search keyword registered by the user belonging to the first development department is 50. Then, the breakdown of how many users have registered the 50 cases is examined, and for example, if there are two, it is described in the determination result as the number of registered users. Similarly, for other organizations, the number of documents in the system section is 40, the number of registered users is 15, and so on. Then, the organization-specific specialty determination unit 420 determines an organization having both a large number of documents registered by the affiliated organization and the number of registered users as a highly specialized organization in which many people register many documents. . In this case, the number of documents and the number of users may be absolute numbers or may be a ratio of the total number. An example of a formula for calculating the specialty score for such determination is shown in Formula (4).

Professional score _{= P (i) / Σ i} P of the organization i (i) + C (i ) / Σ i C (i) ... (4)

Here, C (i) is the total number of documents including the search keyword registered by the user belonging to organization i, and Σ _i C (i) is the total number of documents of each organization that registered the document including the search keyword. , P (i) is the number of users who belong to the organization i and registered the document containing the search keyword, and Σ _i P (i) is the total number of users who registered the document containing the search keyword It is the number which took

According to the first modification, by determining the specialty of an organization based on the number of registered documents and the number of registered users, a plurality of people can create a document in a specific field rather than an organization that registers documents individually. It is possible to search a department that has registered many as a specialized organization.
As yet another example, it is conceivable to use the ratio of the number of registered users to the total number of people constituting the organization, as shown in Formula (4-1), instead of the number of registered users.
Professional score of the organization i = P (i) / Pall (i) + C (i) / Σ i C (i) ... (4-1)
Here, Pall (i) is the total number of people constituting the organization i.
For example, if the total number of members of the system unit is 20 and the number of registered users is 15, 15/20 = 0.75 is set as the specialty score based on the number of users. In this case, the specialty of the organization in which people in the organization register documents uniformly. The total number of people constituting the organization is stored in the organization information storage unit 410.

“Modification 2 of the second embodiment”
In the second modification, the organization-specific specialty determination unit 420 determines the registered user's job title with respect to at least one of the total number of documents including the search keyword registered by the user belonging to the organization and the number of registered users. Perform weighting and calculate specialty score. For this reason, in the organization information storage unit 410 used in the second modification, as shown in FIG. 14, in addition to the organization to which each user belongs, the title is stored.

  The organization-specific specialized degree determination unit 420 refers to the attribute storage unit 112 for each document in the search result transmitted from the search unit 130 to determine the registered user, and refers to the organization information storage unit 410 to determine the registered user. Check the registered user's organization and job title. Then, when counting the number of documents included in the organization to which the user belongs, for example, the weight is assigned to the registrants whose positions are higher. This is because the material registered by a person with a higher rank is given a weight to the document on the assumption that the characteristics of the organization appear. Also, when counting the number of registrants included in the organization to which they belong, the registrant with higher rank is weighted and counted. This is because if a person in a higher rank in the organization is registering a document that corresponds to the search keyword, the organization is likely to work on the field indicated by the search keyword. Because.

  An example of the formula for calculating the specialty score used in the second modification is shown in Formula (5).

Expertise score of organization i = (αPk (i) + βPs (i) + γPt (i)) / Σ _i (αPk (i) + βPs (i) + γPt (i))
+ (ΑCk (i) + βCs (i) + γCt (i)) / Σ _i (αCk (i) + βCs (i) + γCt (i)) (5)

  Here, Pk (i) is the number of registrants registered in the organization i, Ps (i) is the number of registrants in the organization i, and Pt (i) is the number of registered registrants in the organization i. Ck (i) is the number of registered documents of the section manager included in the organization i, Cs (i) is the number of registered documents of the chief included in the organization i, and Ct (i) is the number of registered documents included in the organization i. It is. α, β, and γ are weighting factors assigned to respective positions. The section manager, chief, and charge are just examples of positions, and the types and number of positions are not limited to these.

  According to the second modification, the specialized field of the organization is determined by looking at the post of the registrant to determine the field in which the organization is working as a specialized field, and the specific field indicated by the keyword entered by the searcher You can search for specialized organizations.

“Third embodiment”
Referring to FIG. 15, in the third embodiment of the present invention, a server computer 500 and a plurality of user terminals 200 are connected to each other through a network 300 so that they can communicate with each other.

  Compared with the server computer 400 in the second embodiment shown in FIG. 8, the server computer 500 has an importance degree calculation means 510 added thereto, and an organization-specific specialist instead of the organization-specific specialty judgment means 420. The difference is that the degree determination means 520 is provided.

  The importance calculation means 510 has the same function as the importance calculation means 140 of the first embodiment shown in FIG. 1, and for each document searched by the search means 130, the importance of the search keyword in the document The degree score is calculated by the above formula (1), and transmitted to the organization-specific specialty degree determination means 520 along with the search result.

  The organization-specific specialty determination unit 520 determines the registered user of the document with each document ID included in the search result with reference to the attribute storage unit 112, and the organization to which the determined registered user belongs is stored in the organization information storage unit 410. Based on the determined registered user, the organization to which the user belongs, and the importance score of the search keyword in each document calculated by the importance calculation means 510, the professional score of each organization is calculated. To do. Specifically, using the formula (2) described in the first embodiment, for each user who registered a document including a search keyword, the importance score of the search keyword for each document registered by the user is calculated. The user's specialty score that is the sum is obtained, the sum of the specialty scores of the users belonging to that organization is calculated for each organization, and this calculation result is used as the organization's specialty score.

  As described above, according to the present embodiment, it is possible to search in consideration of the characteristics of documents created by users belonging to the organization, and to search for an organization in which many important documents are registered for the input search keyword. it can.

“Variation 1 of the third embodiment”

Similar to the relationship between the second embodiment and its modification example 1, the professional score of the organization can be calculated in the third embodiment in consideration of the number of users who have registered documents. Specifically, instead of the number of registered documents C (i) of organization i in the above formula (4) used in the second embodiment, the search keyword importance score Σ _{user in} the registered documents of organization i Using Σ _id F _id (KW), calculate the specialty score of the organization by Equation (6).

Professional score of the organization i = P (i) / Σ i P (i) + Σ user Σ id F id (KW) / Σ i Σ user Σ id F id (KW) ... (6)

  According to the second modification, in order to determine expertise based on the importance score of the search keyword in the registered document and the number of registered users, a search is made for an organization in which a plurality of important documents are registered. Can do.

“Variation 2 of the third embodiment”
Similar to the relationship between the second embodiment and the second modification thereof, in the third embodiment, when calculating the specialty score, a weight can be given according to the job title. Specifically, in the above formula (5) used in the second modification of the second embodiment, the section manager's document number Ck (i) included in the organization i and the chief document number Cs ( i), instead of the number of documents in charge Ct (i) included in organization i, the sum of the importance scores of search keywords in the search result document is obtained for each position of organization i Σ _user Σ _id Fk _id (KW), Σ _user Σ _id Fs _id (KW), and Σ _user Σ _id Ft _id (KW) are used to calculate the specialty score of the organization as in the formula (7).

Expertise score of organization i = (αPk (i) + βPs (i) + γPt (i)) / Σ _i P (i)
+ (ΑΣ _user Σ _id Fk _id (KW) + βΣ _user Σ _id Fs _id (KW) + γΣ _user Σ _id Ft _id (KW))
/ Σ _i (αΣ _user Σ _id Fk _id (KW) + βΣ _user Σ _id Fs _id (KW) + γΣ _user Σ _id Ft _id (KW)) (7)

  According to the second modification, in order to determine the specialty based on the importance of the search keyword in the registered document and the post of the registrant, the organization searches for an organization that has worked as a business and has registered many important documents. be able to.

  Although the embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various other additions and modifications can be made. Moreover, the expert information search device of the present invention can be realized with a computer and a program, as well as with hardware. The program is provided by being recorded on a computer-readable recording medium such as a magnetic disk or a semiconductor memory, and is read by the computer at the time of starting up the computer, etc. In the form of the document management unit 120, the search means 130, the importance calculation means 140 and 510, the user-specific specialty degree determination means 150, the organization-specific specialty degree determination means 420 and 520, and the presentation means 160, and the processing described above. Let the computer run.

  INDUSTRIAL APPLICABILITY According to the present invention, in a system in which information is shared among a plurality of users, such as an in-house document management system, the present invention can be applied to a purpose of searching for experts and specialized organizations for a specific field.

It is a block diagram of a 1st embodiment of the present invention. It is a figure which shows the example of the data memorize | stored in the attribute memory | storage part of the 1st Embodiment of this invention. It is a figure which shows the example of the importance score of each keyword in each document which the importance calculation means of the 1st Embodiment of this invention calculates. It is a flowchart which shows the operation example at the time of the search request | requirement in the 1st Embodiment of this invention. It is a figure explaining operation | movement of the special degree determination means classified by user of the 1st Embodiment of this invention. It is a figure explaining the output of the special degree judgment means classified by user of the 1st Embodiment of this invention. It is a figure explaining the example of the search result of the expert shown by the presentation means of the 1st Embodiment of this invention. It is a block diagram of the 2nd Embodiment of this invention. It is a figure which shows the example of data which shows a response | compatibility with the user and affiliation organization which are memorize | stored in the organization information storage part in the 2nd Embodiment of this invention. It is a flowchart which shows the operation example of the 2nd Embodiment of this invention. It is a figure explaining the output of the specialty degree determination means classified by organization of the 2nd Embodiment of this invention. It is a figure explaining the example of the search result of the specialized organization shown by the presentation means of the 2nd Embodiment of this invention. It is a figure explaining operation | movement of the specialty degree determination means classified by organization of the 2nd Embodiment of this invention. It is a figure which shows the example of data which shows a response | compatibility with the user memorize | stored in the organization information storage part in the 2nd Embodiment of this invention, an affiliated organization, and a post. It is a block diagram of the 3rd Embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 ... Server computer 110 ... Document memory | storage device 111 ... Document memory | storage part 112 ... Attribute memory | storage part 120 ... Document management part 130 ... Search means 140 ... Importance calculation means 150 ... User-specific specialty degree judgment means 160 ... Presentation means 170 ... Communication means 200 ... user terminal 300 ... network

Claims (18)

A document storage device for storing documents and registered user information of the documents;
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
Importance calculation means for determining an importance score of the search keyword in the searched document by analyzing the document;
The registered user of the searched document is determined with reference to the document storage device, and the searched document is determined based on the registered user of the searched document and the importance score of the search keyword in the document. A specialized degree judgment means for each user that calculates the specialty score of registered users of
A specialist information search comprising: presenting means for selecting or ranking a registered user of a document including the search keyword in the document based on the calculated specialty score, and presenting the selected user to a search request source apparatus.   The degree-of-speciality determination unit for each user calculates a degree-of-specialty score for each user based on a sum of importance scores of the search keywords for each document registered by the user. Expert information retrieval device. A document storage device for storing documents and registered user information of the documents;
An organization information storage unit for storing information on the organization to which the user belongs;
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
The registered user of the retrieved document is determined with reference to the document storage device, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit, and the registered document is registered. Based on the user and the organization to which the registered user belongs, the specialized degree determination means for each organization that calculates the specialty score of the organization to which the registered user of the retrieved document belongs;
And a presentation unit that selects or ranks an organization to which a registered user of the document including the search keyword in the document belongs based on the calculated specialty score and presents the organization to the search request source. Expert information retrieval device.   4. The expert information according to claim 3, wherein the degree-of-organization professional degree determination means calculates a degree-of-specialty score for each organization based on the total number of documents registered by users belonging to the organization. Search device.   The degree-of-organization specialization determination means calculates a specialization score for each organization based on the total number of documents registered by users belonging to the organization and the number of users registered documents. Item 5. The expert information retrieval device according to item 3.   The degree-of-organizational degree-of-profession determination means is based on the sum of the number of documents registered by the users belonging to the organization for each organization and the ratio of the number of users who registered the document to the total number of people constituting the organization. The expert information search device according to claim 3, wherein a score is calculated.   The organization-specific specialty level determination means determines the determined registered user's position with reference to the organization information storage unit, and gives a weight according to the position when calculating the specialty score. The expert information search device according to claim 4, 5 or 6. A document storage device for storing documents and registered user information of the documents;
An organization information storage unit for storing information on the organization to which the user belongs;
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
Importance calculation means for determining an importance score of the search keyword in the searched document by analyzing the document;
The registered user of the retrieved document is determined with reference to the document storage device, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit, and the registered document is registered. Organization-specific professionality determining means for calculating a professionality score of an organization to which a registered user of the searched document belongs based on the importance of the search keyword in the user, the organization to which the user belongs,
And a presentation unit that selects or ranks an organization to which a registered user of the document including the search keyword in the document belongs based on the calculated specialty score and presents the organization to the search request source. Expert information retrieval device.   The degree-of-organization specialization determination means calculates a degree-of-specialty score for each organization based on a sum of importance scores of the search keywords for each document registered by a user belonging to the organization. Item 9. The expert information retrieval device according to Item 8.   The degree-of-organization specialization determination means calculates a degree-of-specialty score for each organization based on the sum of the importance scores of the search keywords for each document registered by users belonging to the organization and the number of users who have registered the document. The expert information search device according to claim 8, wherein:   The degree-of-organizational degree of expertise determination means includes, for each organization, the total number of importance scores of the search keywords for each document registered by users belonging to the organization and the number of users who have registered documents with respect to the total number of people constituting the organization. The expert information search device according to claim 8, wherein a professionality score is calculated based on the ratio of.   The organization-specific specialty level determination means determines the determined registered user's position with reference to the organization information storage unit, and gives a weight according to the position when calculating the specialty score. The expert information search device according to claim 9, 10 or 11. An expert information search method for searching for experts related to desired knowledge from the registered users using a computer having a document storage device for storing documents and registered user information of documents,
A first step in which the computer searches the document storage device for a document containing a search keyword input from a search request source;
A second step in which the computer analyzes the document to determine the importance score of the search keyword in the searched document;
The computer determines a registered user of the searched document with reference to the document storage device, and based on the registered user of the searched document and the importance score of the search keyword in the document A third step of calculating a registered user's specialty score for the retrieved document;
The computer includes a fourth step of selecting or ranking a registered user of a document that includes the search keyword in the document based on the calculated specialty score and presenting it to a search request source. Expert information search method. Using a computer comprising a document storage device for storing documents and registered user information of the documents and an organization information storage unit for storing information related to the user's organization, a desired organization can be selected from the organizations to which the registered user belongs. An expert information search method for searching a specialized organization related to knowledge,
A first step in which the computer searches the document storage device for a document containing a search keyword input from a search request source;
The computer determines a registered user of the searched document with reference to the document storage device, and determines an organization to which the determined registered user belongs with reference to the organization information storage unit. A second step of calculating a specialty score of an organization to which the registered user of the retrieved document belongs based on a registered user of the document and the organization to which the document belongs.
A third step in which the computer selects or ranks an organization to which a registered user of the document including the search keyword in the document belongs based on the calculated specialty score and presents it to a search request source; An expert information search method characterized by including. Using a computer comprising a document storage device for storing documents and registered user information of the documents and an organization information storage unit for storing information related to the user's organization, a desired organization can be selected from the organizations to which the registered user belongs. An expert information search method for searching a specialized organization related to knowledge,
A first step in which the computer searches the document storage device for a document containing a search keyword input from a search request source;
A second step in which the computer analyzes the document to determine the importance score of the search keyword in the searched document;
The computer determines a registered user of the searched document with reference to the document storage device, and determines an organization to which the determined registered user belongs with reference to the organization information storage unit. A third step of calculating a specialty score of an organization to which the registered user of the searched document belongs based on the registered user of the document, the organization to which the document belongs, and the importance of the search keyword in the document;
A fourth step in which the computer selects or ranks an organization to which a registered user of the document including the search keyword in the document belongs based on the calculated specialty score, and presents it to a search request source; An expert information search method characterized by including. A computer having a document storage device for storing documents and registered user information of documents,
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
Importance calculation means for determining an importance score of the search keyword in the searched document by analyzing the document;
The registered user of the searched document is determined with reference to the document storage device, and the searched document is determined based on the registered user of the searched document and the importance score of the search keyword in the document. A specialized degree judgment means for each user that calculates the specialty score of registered users of
A program for functioning as a presenting means for selecting or ranking a registered user of a document including the search keyword in a document based on the calculated specialty score and presenting it to a search request source. A computer comprising a document storage device that stores documents and information of registered users of the documents, and an organization information storage unit that stores information related to the organization to which the user belongs,
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
The registered user of the retrieved document is determined with reference to the document storage device, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit, and the registered document is registered. Based on the user and the organization to which the registered user belongs, the specialized degree determination means for each organization that calculates the specialty score of the organization to which the registered user of the retrieved document belongs;
A program for functioning as a presentation unit that selects or ranks an organization to which a registered user of a document including the search keyword in a document belongs based on the calculated specialty score and presents it to a search request source. A computer comprising a document storage device that stores documents and information of registered users of the documents, and an organization information storage unit that stores information related to the organization to which the user belongs,
Search means for searching the document storage device for a document containing the search keyword input from the search request source in the document;
Importance calculation means for determining an importance score of the search keyword in the searched document by analyzing the document;
The registered user of the retrieved document is determined with reference to the document storage device, the organization to which the determined registered user belongs is determined with reference to the organization information storage unit, and the registered document is registered. Organization-specific professionality determining means for calculating a professionality score of an organization to which a registered user of the searched document belongs based on the importance of the search keyword in the user, the organization to which the user belongs,
A program for functioning as a presentation unit that selects or ranks an organization to which a registered user of a document including the search keyword in a document belongs based on the calculated specialty score and presents it to a search request source.

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