JP3957802B2 - Knowledge information presentation apparatus and knowledge information output method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a knowledge information presentation apparatus and a knowledge information output method for selecting and presenting knowledge information that matches a user's request from among a plurality of shared knowledge information, and particularly adapted to a user's interpersonal relationship. The present invention relates to a knowledge information presentation apparatus and a knowledge information output method for executing knowledge information presentation.
[0002]
[Prior art]
With the recent development of computers and network environments in offices and the like, sharing of knowledge information such as documents and know-how information has been promoted rapidly. One of the tools used for sharing such information is a document database management system. This document database stores know-how information such as standard documents and memos, and manages comments and additional information associated with each information in association with each other. A large amount of information is shared by using this document database, but on the other hand, there is a problem that it becomes difficult for a user to quickly find desired information. .
[0003]
In order to deal with such problems, recent document databases are provided with a function called a view, a function for organizing and presenting information from viewpoints such as dates, registrants, and topics, and a search function using keywords. As a result, the user can access necessary information according to his / her desired viewpoint and keywords, so that the document database management system described above can be made a system in which the user can easily find desired information. .
[0004]
[Problems to be solved by the invention]
However, in such a countermeasure, when a user refers to information different from his / her specialty, he / she does not know an appropriate topic or a keyword suitable for a search, so that it is difficult to extract necessary information. For this reason, the user asks a person who is familiar with the field around him about appropriate topics and keywords, or repeatedly selects a topic by trial and error. As described above, when trial and error are performed, the efficiency of search decreases, and when other people are asked about shared information, the effect of load sharing by information sharing is diminished.
[0005]
Conventionally, a registrant can be selected as a view and information can be searched from the viewpoint of information registered by a specific person. However, when the registrant of desired information is a person who is not familiar with the user Is not valid. This situation increases with the development of networks and the growing number of groups sharing information.
[0006]
In addition, when the user's desired information is not registered as shared knowledge information, the user obtains the information from an information source other than the registered shared information. Can not help.
[0007]
As described above, conventionally, the case where the user refers to information that is not specialized has not been sufficiently considered.
The present invention has been made in view of such circumstances, and when referring to shared knowledge information about a non-specialized field of users, knowledge can be easily obtained through a process similar to that used when asking a person familiar with the field. A first object is to provide a knowledge information presentation device and a knowledge information output method capable of acquiring information.
[0008]
In addition, when a user newly acquires knowledge information that is not shared in a field that is not specialized, a knowledge information presentation device and knowledge information that can introduce a person who is familiar with the field and is close to the user A second object is to provide a presentation method.
[0009]
[Means for Solving the Problems]
In the present invention, in order to achieve the above-described object, knowledge information is presented in association with a person by using a profile describing the specialty of each individual and the interpersonal relationship between the user and each individual. Provide presentation means. In other words, instead of just listing all the topics, for example, by displaying a list of people and selecting one of them, the user can narrow down only the topics that the person is familiar from among all the topics. Therefore, the user can find desired information quickly and easily.
[0010]
Also, rather than simply presenting a person who is familiar with the information, the interpersonal relationship between the user and each individual is evaluated, and the person familiar to the user, that is, the user recalls it in association with the topic of knowledge information. Since an easy person is presented, the user can easily find desired information.
[0011]
Furthermore, when newly acquiring knowledge information that is not shared by the user, the candidate is selected by referring to the profile and selecting a candidate for a person who is familiar with the topic, and evaluating the interpersonal relationship among them. Since a person who is easy to request information provision is presented, the user can efficiently acquire information.
[0012]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings.
(First embodiment)
First, a first embodiment of the present invention will be described. FIG. 1 shows a functional configuration of the knowledge information presentation device according to the first embodiment of the present invention. This knowledge information presentation device presents accumulated knowledge information to a user like a document database management system.
[0013]
The knowledge information storage unit 10 stores cases or knowledge information. The information stored in the knowledge information storage unit 10 may be a file on a normal computer file system or tabular data on a relational database. Further, it may be object data on an object-oriented database.
[0014]
The profile storage unit 20 stores personal profiles describing the expertise of a plurality of persons. Similar to the knowledge information storage unit 10, this is also realized by a database or a file system. As shown in FIG. 2, the contents of the personal profile include a keyword group representing a topic of interest to the individual, a history of business and office procedures, personal affiliation, and position information.
[0015]
In the personal profile, the keyword group may be manually registered by each person or the administrator of the apparatus, and more preferably, the existing deliverables of each person, for example, a report, etc., according to the procedure shown in FIG. It is also possible to perform morphological analysis of the documents and the contents of knowledge information previously stored in the knowledge information storage unit 10 by each person, and register frequently used nouns as keywords.
[0016]
The presentation unit 30 presents knowledge information stored in the knowledge information storage unit 10 to the user, and is realized as a program for controlling a database or file system executed on a computer. In the first embodiment, the presentation unit 30 has the know-how information 11a to 11c stored in the knowledge information storage unit 10 as shown in FIG. 4 and the know-how information 11a to 11c stored in the profile storage unit 20 as shown in FIG. By comparing the personal profiles 21a to 21f, an individual who is familiar with the contents of the know-how is specified, and a know-how browsing function that allows the user to follow the know-how from the display for identifying the name of the individual or the individual is provided.
[0017]
As a realization method in which the presentation unit 30 associates know-how information with an individual, for example, according to the procedure shown in FIG. 5, the content or title of the information is morphologically analyzed, and the obtained noun group is used as a keyword in the personal information storage means. In comparison, a method of selecting individuals with the most common keywords can be considered.
[0018]
Here, it is important that the creator who created the know-how information is not necessarily selected. That is, not only the creator but also a person who is familiar with the information is presented, so the user can refer to information created by various persons.
[0019]
As an information presentation function of the presentation unit 30 that uses the correspondence between know-how information and individuals, for example, as shown in FIG. 6, the keyword is presented hierarchically from “keyword” to “information” to be searched. As shown in FIG. 7, a form in which keywords are arranged around a face image or an illustration and information is retrieved from the keyword is conceivable.
[0020]
The first embodiment will be specifically described below.
Here, 11a to 11c of FIG. 4 are considered as examples of know-how information stored in the knowledge information storage unit 10, and 21a to 21c of FIG. 2 are considered as examples of personal profiles stored in the profile storage unit 20. Now, when the user “Sato” accesses the presentation unit 30, the presentation unit 30 selects a corresponding individual according to the procedure shown in FIG. That is, when the know-how information 11a is extracted from the knowledge information storage unit 10 (step S201), first, after morphological analysis of the title and the body (see step S202, FIG. 8 (a)), nouns are extracted therefrom. A word list is created (see step S203, FIG. 8B). Further, in the word list shown in FIG. 8B, the words “aaaa” and “standard input” are duplicated and are removed (see step S204, FIG. 8C).
[0021]
Next, a personal profile for one person is extracted from the profile storage unit 20 (step S205). Here, it is assumed that the extracted personal profile is related to “Yamada” (personal profile 21a). The number of elements in the word list shown in FIG. 8C is 3, and among these, the word common to the keyword of interest in the personal profile 21a is “aaa”, so “Yamada” and FIG. 8C. The degree of matching x with the word list 401 indicated by (3) is about 0.33 (step S206).
[0022]
Similarly, the personal profile is sequentially extracted to obtain the matching degree x with the know-how information 11a. In this example, there is no word common to the word list shown in FIG. 8C in the interested keywords of 21b and 21c, so that both “Tanaka” and “Suzuki” have a fitness x of 0 with the know-how information 11a. . As a result, the presentation unit 30 selects “Yamada” as a person familiar with the know-how information 11a, and associates the know-how information 11a with the personal profile 21a. Similar processing is repeated for other know-how information. In this way, know-how information can be associated with a personal profile.
[0023]
One example of the information presentation search function of the presentation unit 30 is the know-how browser shown in FIG. The presentation unit 30 presents a list of names of personal profiles with reference to the profile storage unit 20 (FIG. 6A). When there are a large number of people registered in the profile, the organization hierarchy is first presented as in a normal personnel data browser, and after one of the departments is designated, the persons belonging to that department are shown in FIG. A list may be presented as in (a). The user “Sato” selects the personal name that he / she seems to know about the know-how information he / she wants to know from this screen. For example, when “Yamada” is selected, the presentation unit 30 refers to the personal profile of “Yamada” and presents a list of keywords of interest of “Yamada” (FIG. 6B). When "aaaa" is selected here, the presentation unit 30 retrieves the know-how information including "aaa" in the word list from the know-how information corresponding to "Yamada" from the knowledge information storage unit 10, and displays the title (FIG. 6C). If the desired know-how information of “Sato” is included therein, the text of the information is shown by selecting the title (FIG. 6D).
[0024]
As a first modification of the first embodiment, the presentation unit 30 changes the correspondence between the case / knowledge information and the individual from time to time according to the business procedure history stored in the profile storage unit 20. It is possible. In this case, as shown in FIG. 9, after adding the procedure name described in the business history of the personal profile to the keyword of interest (step S306), the degree of matching x with the word list is obtained. If there is a plurality of pieces of personal information to be maximized and the procedure name is included in a common word (YES in step S310), the work history is extracted (step S311), and the date of the procedure is determined. New personal information is selected (step S312). For example, when the know-how information 11c in FIG. 4 is made to correspond to personal information, the word list becomes “housing allowance application, precautions”, and the suitability between “Yamada” and “Tanaka” from the personal profile 21a and personal profile 21b in FIG. Both x are 0.5. In such a case, the business history of the personal information of both “Yamada” and “Tanaka” is referred to, and “Yamada” with a newer date is associated with the know-how information 11c.
[0025]
Further, as a second modification of the first embodiment, the presentation unit 30 evaluates the interpersonal relationship regarding the user, and the case / knowledge information and the individual are preferentially presented to the individual who has a strong relationship with the user. It is conceivable to change the correspondence with each user. As a realization method in which the presenting unit 30 evaluates the interpersonal relationship, it is conceivable to refer to the information on the affiliated organization included in the personal profile shown in FIG. For example, the priority order to be presented in the order of (persons belonging to the same affiliation), (persons with whom mail is exchanged), and (other people) is changed.
[0026]
According to this, as shown in FIG. 10, when there are a plurality of pieces of personal information that maximize the fitness (YES in step S410), the presentation unit 30 refers to the profile storage unit 20 so that the user Priority is given to those who belong to the same affiliation. For example, when the know-how information 11b in FIG. 4 is associated with the personal profile, the common word is “WWW” in both the personal profile 21a and the personal profile 21b in FIG. " In such a case, reference is made to the affiliation of the personal profile 21c of the user “Sato”, and the same affiliation as the “software development department research section” belonging to “Sato” of the personal profile 21a and the personal profile 21b. “Tanaka” is given priority and associated with the know-how information 11b. In step S410, it is also effective to follow the priority order if the difference in fitness is less than a certain value. In this case, even if the adaptability is small to some extent, priority is given to persons familiar to the user, and the number of persons initially presented as a list can be narrowed down.
[0027]
(Second Embodiment)
Next explained is the second embodiment of the invention. FIG. 11 shows a functional configuration of the knowledge information presentation device according to the second embodiment of the present invention. The knowledge information storage unit 10 of this knowledge information presentation device stores question-answer cases 12a to 12c as shown in FIG. 12 as case information, and the profile storage unit 20 stores personal profiles 21a to 21 as shown in FIG. 21f is accumulated. Then, the request receiving unit 40 receives an input of a question from the user, and referring to this request, the presenting unit 30 searches the knowledge information storage unit 10, and if the search fails or the user searches If you input that you are not satisfied with the result, compare the question you entered with your profile to identify the appropriate person for answering the question and request input of the answer or direct interaction with the user Provide functionality.
[0028]
The second embodiment will be specifically described below.
Here, as an example, question-answer cases such as 12a to 12c in FIG. 12 are accumulated in the knowledge information accumulation unit 10, and personal profiles such as 20a to 20f in FIG. 2 are accumulated in the profile accumulation unit 20 as an example. Consider the case. When the user “Sato” inputs a question as shown in FIG. 13B as a search request to the question input interface (FIG. 13A) of the request receiving unit 40, the presenting unit 30 The case 12b of FIG. 12 is searched from the knowledge information storage unit 10 as a case similar to the input in the procedure shown in FIG.
[0029]
Here, when the “dissatisfied” button is pressed with respect to the case 12b in which “Sato” is presented, the presenting unit 30 selects the respondent by the procedure shown in FIG. In this example, “Yamada” (individual profile 21a) and “Suzuki” (individual profile 21d) having the word “distributed environment” as the keyword of interest are presented as respondent candidates. Preferably, in step S604 of FIG. 15, it is conceivable that the presentation unit 30 evaluates the user's interpersonal relationship and selects a respondent. As a realization method in which the presenting unit 30 evaluates the interpersonal relationship, it is conceivable to refer to the information on the affiliated organization included in the personal profile shown in FIG. For example, the priority of respondents who show their relationship with the users in the following order: (same affiliation with same job title or less), (same work manager), (person with whom email is exchanged), and (other people) And so on.
[0030]
According to this, “Suzuki”, who has the same job title as “Sato”, is selected as the respondent among “Yamada” and “Suzuki”.
This priority setting may be stored in the profile storage unit 20 as a personal profile, or may be stored for each individual by the presentation unit 30 and may be freely changed by the individual. Furthermore, it is possible to select respondents based on personal interpersonal relationships such as likes / dislikes and easy to talk / difficulty by setting priorities of specific persons as priorities for each individual. Become.
[0031]
In addition, in step S511 of FIG. 14, if the fitness is 0 for all cases, an individual who is suitable for the respondent is selected in the same manner. In step S604 of FIG. 15, it is possible to follow the priority order including individuals whose difference from the maximum value of the fitness is smaller than the constant value Δx, and Δx can be set by the administrator or the user. As a result, a person who can easily ask a question even if the degree of fitness is small to some extent is presented as an answerer.
[0032]
The selection of the respondent may be as simple as presenting the candidate of the respondent to the user. If the environment is connected to the network, the presentation unit 30 directly inputs the question to the candidate of the respondent using an e-mail. May be sent to encourage answers. Furthermore, the user may be able to directly interact with the answer candidate using a network chat program. When there is an answer from the answer candidate to the user, the user can register this answer in the knowledge information storage unit 10. Alternatively, when the respondent directly registers the answer in the knowledge information storage unit 10, the presentation unit 30 notifies the user who has made the question that the answer has been input.
[0033]
When the same person asks a certain number of questions about a certain keyword, the person who asked the question is also considered interested in the topic, and the keyword can be added to the keyword of interest in the personal profile of the questioner. As a result, the burden on the respondent is distributed.
[0034]
In step S511 of FIG. 14, it is conceivable that the criterion for determining a search failure is not the fitness level> 0 but the fitness level> n so that the administrator or user of the apparatus can set n.
[0035]
As a modified example of the second embodiment, when selecting an appropriate respondent for the input question, it is conceivable to select the respondent by determining the related post from the content of the question.
[0036]
Hereinafter, a modified example of the second embodiment will be described.
As an example, the knowledge information storage unit 10 stores question-answer cases such as 12a to 12c in FIG. 12, and personal profiles such as 21a to 21f in FIG. Suppose that Here, it is further assumed that 22a to 22c in FIG. 16 are considered as profiles relating to positions, and these are also stored in the profile storage unit 20. A profile related to a position describes a topic that is considered to be detailed if it is a person engaged in a certain position, regardless of the department, as a keyword of interest.
[0037]
When the user “Tanaka” inputs a question “I want to know how to write an arrangement request form” to an arrangement request form, which is a document necessary for purchasing an article, to the request reception unit 40, the presenting unit 30 shows in FIG. The knowledge information storage unit 10 is searched according to the procedure, and the case 12c is presented as a similar case.
[0038]
Referring to this, “Tanaka” creates an arrangement request form, but does not know what to select in the “Applicable budget item” field, and what is the applicable budget item in the arrangement request form? ”Is input to the request receiving unit 40.
[0039]
In response to this question, the presentation unit 30 searches the knowledge information storage unit 10 according to the procedure shown in FIG. 14, and presents the case 12c as a similar case as in the case of the first question “Tanaka”. In this case 12c, since the applied budget item is unknown, “Tanaka” presses the “dissatisfied” button for this search result. Then, the presentation unit 30 selects an answer candidate according to the procedure shown in FIG. More preferably, the presentation unit 30 may automatically select answer candidates when only the same search result is obtained for consecutive questions from the same user.
[0040]
In this modified example, since the profile for each job title is also stored in the profile storage unit 20, the matching degree x is also obtained for the job profile in step S602 of FIG. Then, for the second question of “Tanaka”, the profile of “section manager”, which is the profile of the position, is selected in step S604 of FIG. 15 by using the keyword “budget”. Based on this selection, the presentation unit 30 presents “Matsumoto”, who is the manager of the “Software Development Department Research Section”, to which “Tanaka” belongs, as a candidate answer.
[0041]
According to this modification, it is not necessary to enter a keyword of interest in the personal profile when a detailed person can be determined by job title regardless of the department, such as office procedures. In addition, even when a member of a department is transferred or promoted, it is not necessary to change the keyword of interest in the profile.
[0042]
【The invention's effect】
As described above in detail, according to the present invention, users can easily refer to shared knowledge information in the same process as when asking a close person about information in a non-specialized field. It is possible to reduce the burden on all the members of the group sharing information including the person who is in the group.
[0043]
Further, when the user newly acquires knowledge information that is not shared in a non-specialized field, a person who is familiar with the field and is close to the user can be introduced.
[Brief description of the drawings]
FIG. 1 is a diagram showing a functional configuration of a knowledge information presentation device according to a first embodiment of the invention.
FIG. 2 is a view showing the contents of a personal profile according to the embodiment.
FIG. 3 is an exemplary flowchart illustrating a personal profile registration procedure according to the embodiment;
FIG. 4 is a view showing the contents of know-how information of the embodiment.
FIG. 5 is a flowchart showing a procedure for associating know-how information with individuals in the embodiment;
FIG. 6 is an exemplary view for explaining an information presentation function of a presentation unit according to the embodiment;
FIG. 7 is an exemplary view for explaining an information presentation function of a presentation unit according to the embodiment;
FIG. 8 is a flowchart showing a word list creation procedure according to the embodiment;
FIG. 9 is a flowchart showing a procedure for associating know-how information with individuals according to a modification of the embodiment;
FIG. 10 is a flowchart showing a procedure for associating know-how information with individuals in the second modification of the embodiment;
FIG. 11 is a diagram showing a functional configuration of a knowledge information presentation device according to a second embodiment of the present invention.
FIG. 12 is a view showing the contents of know-how information of the embodiment.
FIG. 13 is an exemplary view showing an interface of a request receiving unit according to the embodiment.
FIG. 14 is an exemplary flowchart illustrating a procedure for searching for a case similar to an input from the knowledge information storage unit according to the embodiment;
FIG. 15 is an exemplary flowchart showing a procedure for selecting respondents when a “dissatisfied” button is pressed according to the embodiment;
FIG. 16 is a view showing a profile related to a post in a modified example of the embodiment;
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 10 ... Knowledge information storage part 20 ... Profile storage part 30 ... Presentation part 40 ... Request reception part

Claims (7)

In a knowledge information presentation device that selects and presents knowledge information that matches a user's request from among a plurality of shared knowledge information,
And knowledge information storage means for storing the previous Symbol knowledge information of each individual,
Profile accumulation means for accumulating profiles that describe the individual expertise,
Based on the profile stored in the profile storage means, a candidate for a person who is familiar with the knowledge information stored in the knowledge information storage means is selected, and the interpersonal relationship between each candidate and the user is evaluated to evaluate the user and a person having a predetermined relationship elected from among the candidates, characterized in that the knowledge information knowledge information stored in the storage means formed by and a presenting means for presenting in association with the person who the selected Knowledge information presentation device.   The knowledge information presentation apparatus according to claim 1, wherein the profile includes information related to a business history of each individual.   2. The knowledge information presentation according to claim 1, wherein the presenting means evaluates an interpersonal relationship between the user and each individual based on at least one of information regarding a social relationship between individuals and information regarding a personal relationship. apparatus.   The presenting means selects a person having a predetermined relationship with the user from the evaluation result of the interpersonal relationship, presents the list, and when any person is selected from the listed persons, 2. The knowledge information presenting apparatus according to claim 1, further comprising means for taking out and presenting knowledge information of a detailed field from the profile accumulated in the profile accumulation means from the knowledge information accumulation means. It further comprises search request accepting means for accepting a user search request,
The presenting means selects a person who is familiar with the field requested for the search from the evaluation result of the interpersonal relationship and the profile stored in the profile storage means, and indicates information indicating the selected person to the user. The knowledge information presenting apparatus according to claim 1, further comprising means for presenting.   The knowledge information presentation apparatus according to claim 1, further comprising profile generation means for generating the profile from at least one of knowledge information referred to by each individual and a created document. And knowledge information storing means for storing knowledge information of each person to be shared, a knowledge information output method for a computer system comprising a profile storing means for storing a profile describing the expertise of each individual,
The computer system is
Based on the profile stored in the profile storage means, a candidate for a person who is familiar with the knowledge information stored in the knowledge information storage means is selected, and the interpersonal relationship between each candidate and the user is evaluated to evaluate the user And select a person with a predetermined relationship from the candidates ,
A knowledge information output method characterized in that the knowledge information stored in the knowledge information storage means is output in association with the selected person .

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