JP2011108042A - Personal connection search device, personal connection search method, and personal connection search program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To search for a proper personal connection route to an intended human resource by use of a plurality of conference note information as a result of face-to-face communications. <P>SOLUTION: The personal connection search device for searching for a personal connection between a specific person and a target person includes: a personal connection relevant information extraction means which extracts, from a plurality of electronic documents of conference note data recording contents of a conference, personal connection relevant information showing that there is a connection between participants in the conference; and a personal connection route search means which extracts, from the personal connection relevant information extracted by the personal connection relevant information extraction means, a personal connection route between the participants, and searches for, by use of one or more extracted personal connection routes, a personal connection route in a predetermined route from the preliminarily designated specific person who has participated in the conference to the target person. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a network search device, a network search method, and a network search program for searching for a network.

  2. Description of the Related Art Conventionally, in order to obtain certain necessary information and work, for example, a human resource search system for searching for a person who knows the information or who can perform the work has been provided. However, even if the target human resource is found by such a human resource search system, it is difficult to make a request or consultation if it is a first-time meeting partner, and the requested party is also from an unacquainted partner It is difficult to receive requests or consultations.

  This is also the case in organizations such as companies, for example. For organizations with little involvement, it is often difficult to know what human resources are doing what and who they are acquainted with. The situation described above can occur when trying to work beyond. In view of this, for example, a system for presenting information as a background of a target human resource for facilitating a request or displaying an intermediary up to this human resource has been studied.

  In a conventional human network search system, for example, a method of searching for a human network from human network information generated based on a mail transmission / reception relationship is known (see, for example, Patent Document 1).

  In addition, a method for creating a human network from information such as human resources registered on the same electronic bulletin board, link relations of publicly available home pages, human resources belonging to the same department, and searching for human networks is known (for example, Patent Document 2).

  However, in the conventional methods described in Patent Documents 1 and 2, the human network obtained from information such as links to mails, bulletin boards, and homepages is not a personal network formed as a result of face-to-face communication. Therefore, the personality searched by the above-mentioned method is not a personality network that has a connection such as mediating between people or introducing people across organizations, but a personality with a low degree of relevance. There was a case where it was simply searched.

  The present invention has been made in view of the above points, and uses a plurality of minutes information as a result of face-to-face communication to search for a suitable network route to a target human resource, a network search device, and a network search It is an object to provide a method and a network search program.

  In order to achieve the above object, the present invention provides a human network search apparatus for searching a human network between a specific person and a target person, from a plurality of minutes data electronic documents in which the contents of the meeting are recorded, From the network related information extracting means for extracting the network related information indicating that there is a relationship between the participants attending the network, and the network related information extracted by the network related information extracting means, the network route between the participants is obtained. A network route search means for searching for a network route between predetermined routes from the specific person who participated in the conference specified in advance to the target person using one or a plurality of extracted human network routes; It is characterized by providing.

  In addition, the present invention provides a method of searching for a human network that searches for a human network between a specific person and a target person, and from the electronic document of a plurality of minutes data in which the contents of the meeting are recorded, From the network related information extraction procedure for extracting the network related information indicating that the participants who attended the meeting are related to each other, and the network related information extracted by the network related information extraction procedure, the network route between the participants A human route search procedure for searching for a human route between predetermined routes from the specific person who participated in the conference specified in advance to the target person using one or more extracted human routes. It is characterized by providing.

  According to another aspect of the present invention, there is provided a human network search program for searching a human network between a specific person and a target person. The computer attends the meeting from an electronic document of a plurality of minutes data in which the contents of the meeting are recorded. Human network related information extracting means for extracting human network related information indicating that the participants are related to each other, extracting the human network route between the participants from the human network related information extracted by the human network related information extracting means, and extracting A human network search functioning as a human network route search unit that searches for a human network route between predetermined routes from the specific person who participated in the conference specified in advance to the target person using the one or plural human network routes. It is a program.

  According to the present invention, it is possible to search for an appropriate personal network route to a target human resource using a plurality of minutes information as a result of face-to-face communication.

It is a figure which shows an example of a structure of the personal network search system which concerns on this embodiment. It is a figure which shows an example of the functional block of the personal network search apparatus which concerns on this embodiment. It is a figure which shows an example of the hardware constitutions of the personal network search apparatus which concerns on this embodiment. It is a flowchart which shows the flow of the process extracted by the connection information extraction means. It is a figure (1) which shows the example of the minutes used in the personal network search device concerning this embodiment. It is a figure (2) which shows the example of the minutes used in the personal network search device concerning this embodiment. It is a figure which shows an example of the data content which event DB manages. It is a figure which shows an example of the data content which speech remark DB manages. It is a figure which shows an example of the data content which relation DB manages. It is a figure which shows an example of the data content which personal name organization DB manages. It is a flowchart which shows the flow of the process searched by the personal route search means. It is a figure which shows the functional block of the personal network search device which added the title table. It is a flowchart which shows the flow of the process evaluated by the personal route evaluation means. It is a figure which shows an example of the data content managed by the title table. It is a flowchart which shows the flow of the process which calculates the height difference of a post by the personal network route evaluation means. It is a figure which shows an example of the display screen which shows the connection route search result by the connection route search means. It is a figure which shows an example of the display screen by which the frequency | count of face-to-face was added to the personal route search result by the personal route search means.

  Hereinafter, embodiments of the present invention will be described in detail.

<About the present invention>
The present invention uses, for example, a plurality of minutes information, which is a record of the results of face-to-face communication, to extract network-related information indicating that the participants are related to each other. A predetermined network route is searched through an intermediary to the target subject. In addition, the present invention relates to the extracted human network related information, such as the number of meeting between the participants, the number of participants in the meeting at the time of meeting, the number of remarks in the meeting of the participants, the number of references in the meeting for the participants, etc. A weight as an association degree index is added for each human network route from the characteristics of face-to-face communication, and an appropriate human network route between predetermined human network routes is searched.

<Human network search system>
FIG. 1 shows an example of the configuration of a human network search system according to this embodiment. As shown in FIG. 1, the human network search system 100 is configured to include a human network search device 10, a document DB (database) 20, an organization DB 30, a user PC 40, and a human resource search device 50. Each is connected via a communication network 60.

  The human network search device 10 is a device that searches for a human network route between predetermined human network routes from a specific person (for example, the user himself) designated in advance by a user to a target person, and details thereof will be described later.

  The document DB 20 is a DB in which, for example, electronic documents of a plurality of minutes data in which the content of a meeting is recorded are stored. An example of the minutes data will be described later.

  The organization DB 30 is a DB in which, for example, a person name, an organization name to which the person name belongs, and the like are stored. The organization DB 30 may be, for example, a workflow organization DB used in the company, an organization address book, or the like.

  The user PC 40 is, for example, a personal computer that a user uses for business. A user who operates the user PC 40 can obtain services such as a predetermined human resource search and a human network search from the human network search device 10 and the human resource search device 50.

  The human resource search apparatus 50 is an apparatus that stores information on human resources and searches for human resources having specific information, skills, and the like.

  For example, the human network search system 100 searches for a human resource having a predetermined skill or the like in the human resource search device 50, and then selects a predetermined person from a designated person designated by the user in the human network search device 10 to a human resource searched in the human resource search device 50. The network route is searched, and the searched network route is displayed on a display or the like. In addition, when the target person who is the target is known in advance, it is possible to search for the human network route by specifying the target person in the human network search apparatus 10 without using the human resource search apparatus 50.

<Functional block of human network search device>
Next, functional blocks of the human network search device 10 in the human network search system 100 will be described with reference to FIG. FIG. 2 shows an example of functional blocks of the personal network search device according to the present embodiment.

  As shown in FIG. 2, the human network search device 10 includes a human network related information extraction unit 11, an organization name / post extraction unit 12, an event DB 13, a remark mention DB 14, a relationship DB 15, a personal name organization DB 16, and a human network route. The search means 17, the personal route evaluation means 18, and the display output means 19 are configured.

  The personal network related information extracting means 11 obtains personal network related information indicating that the participants attending the conference are related to each other from electronic documents of a plurality of minutes data stored in the document DB 20 in which the content of the conference is recorded. It is extracted and stored in the event DB 13, the remark mention DB 14, and the relation DB 15.

  Here, the personal network related information is information stored in the event DB 13, the remark mention DB 14, the relation DB 15, etc., for example, the date and time of the conference, the conference name, keywords, participants, the number of participants, the organizer, and the minutes creation This is information indicating that the participants are related to each other, such as the number of utterances at the conference of the participants, the number of mentions to the participants, the participant pair among the participants, and the number of meeting between the participants.

  The personal network related information extracting means 11 converts the minutes data stored in the document DB 20 to text, for example, and then extracts personal network related information based on the structured tag information. It may be extracted based on an information extraction method such as language processing.

  The organization name / position extracting means 12 extracts data of a pair of a person name and an organization name to which the person name belongs from the organization DB 30 in correspondence with the participant information such as the participant name of the minutes data stored in the document DB 20. And stored in the personal name organization DB 16. Note that the organization name / title extracting means 12 extracts the organization name, title, etc. paired with the person's name from the body data of the minutes when the minutes data stored in the document DB 20 is recorded. Also good.

  In the event DB 13, information related to the conference extracted by the personal network related information extracting unit 11 from the minutes data stored in the document DB 20 is stored. The event DB 13 is for the purpose of specifying an event such as a meeting, such as a meeting date, start time, end time, place, meeting name, meeting keyword, meeting organizer name, meeting minutes creator name, and number of participants. Are stored together with an event ID uniquely assigned to the event ID. A specific example of the event DB 13 will be described later.

  In the remark mention DB 14, the number of remarks in the meeting of the participant extracted by the personal network related information extraction unit 11 from the minutes data stored in the document DB 20 and the number of remarks that is the number of times the participant was referred to in the meeting Are stored in association with the event ID. Here, “participant being mentioned in a meeting” refers to, for example, a case where the participant is referred to as a person in charge of a certain task or task and recorded in the minutes. A specific example of the statement mention DB 14 will be described later.

  The relation DB 15 stores information on participant pairs (groups) among the participants extracted from the minutes data stored in the document DB 20 by the network related information extracting unit 11. The participant pair is obtained by extracting, for example, participants as a pair (participant pair) based on the number of participants and the participant information extracted by the network related information extracting unit. The relation DB 15 is uniquely assigned to identify the name and organization name of each participant constituting the participant pair, the number of times the participant pair actually participated in the face-to-face meeting, and the meeting that participated. Event ID and the like are stored. As will be described later, the network route search means 17 extracts the network route from the participant pair recorded in the relationship DB 15. A specific example of the relation DB 15 will be described later.

  The personal name organization DB 16 stores information on the name of the person and the organization name of the personal name extracted by the organization name / position extracting means 12 from the workflow organization DB stored in the organization DB 30. The personal name organization DB may be an organization DB in the company to be used, such as a workflow or an organization address book. A specific example of the personal name organization DB 16 will be described later.

  The network route search means 17 extracts the network routes of the participants who participated in the same conference from the network related information extracted by the network related information extraction means 11, and uses one or more extracted network routes in advance. A network route between predetermined routes from the specified specific person to the target person is searched. As described above, the network route search means 17 extracts the network routes between the participants from the participant DB 15 and searches for the network routes between predetermined routes.

  Here, the specific person is, for example, the user himself / herself. For example, when a specific person and a target person to be specified are specified, the user also specifies and searches for the organization name to which the specific person and the target person belong.

  The network route search means 17 extracts at least one participant who participated in the meeting from the extracted network route as an intermediary that mediates between the specific person and the target person, and extracts the mediation It is possible to search for a personal route between predetermined routes through a person. Here, the network route search means 17 may search for an intermediary from the organization to which the specified person who is designated in advance and the target person to which the target belongs respectively belong. Thereby, it becomes possible to search for a personal route between predetermined routes via an intermediary. The processing content of the personal route search unit 17 will be described later.

  The network route evaluation means 18 adds weights using the degree of association of human networks as an index for each of the network routes between the participants extracted by the network route search means 17, and based on the added weights, the network connection between predetermined routes is added. Evaluate the degree of relevance of the route.

  Here, the network route evaluation means 18 evaluates the degree of association of the network based on, for example, the degree of face-to-face between participants, the degree of participation of participants in the conference, and the link between persons of different organizations. Here, the degree of meeting is, for example, the value (degree) obtained from at least one of the number of meeting in the same meeting between participants, and the number of participants in the meeting in which the participants participated. It is a value (degree) obtained from at least one of the number of utterances in the meeting of the participant, the number of times of mention in the meeting for the participant, and whether or not the participant is a meeting organizer or a minutes maker.

  The network route evaluation means 18 is based on at least one of, for example, the name of the conference, the keyword extracted from the conference, and the difference between the positions of the participants, in addition to the above-described weighting using the degree of association of the network as an index. Thus, weighting may be added.

  The display output means 19 outputs at least one of a human route search result between the predetermined routes searched by the human route search means 17 and a human route evaluation result between the predetermined routes evaluated by the human route evaluation means 18. Output. The contents of the personal network search result and the personal network route evaluation result displayed and output by the display output means 19 will be described later.

  Further, the display output means 19 can display the contents of the event DB 13, the remark mention DB 14, the relation DB 15, and the personal name organization DB 16 shown in FIG. 2, for example, the data input from the document DB 20, the organization DB 30, and the like. Further, it is possible to display a search screen or the like for the user to input a keyword or the like necessary for searching for a personal route. Here, the display output unit 19 is, for example, a display or the like provided in the human network search device 10, the user PC 40, or the like.

<Hardware configuration of human network search device>
Next, the hardware configuration of the personal network search device 10 will be described with reference to FIG. FIG. 3 shows an example of the hardware configuration of the personal network search device according to the present embodiment.

  In FIG. 3, first, the human network search device 10 is a computer device, and is an input device 61, an output device 62, a drive device 63, an auxiliary storage device 64, which are mutually connected by a system bus B, The memory device 65, the arithmetic processing device 66, and the network connection device 67 are configured.

  The input device 61 includes a keyboard, a mouse, and the like, and is used to input various signals. The output device 62 is composed of a display device or the like, and is used to display various windows and data, for example, the result of the personal route searched by the human route search means 17 of this embodiment. The network connection device 67 includes a modem, a LAN card, and the like, and is used for connecting to the communication network 60, for example.

  The network search device 10 acquires various types of information from the document DB 20, organization DB 30, user PC 40, and human resource search device 50 provided outside via the communication network 60 by the network connection device 67.

  The network search program according to the present embodiment is at least a part of various programs that control the network search device 10. The personal network search program is provided, for example, by distributing the recording medium 68 or downloading it from the communication network 60. The recording medium 68 on which the human network search program is recorded is a recording medium for recording information optically, electrically or magnetically, such as a CD-ROM, flexible disk, magneto-optical disk, ROM (Read Only Memory), The present invention can be provided using various types of recording media such as a semiconductor memory that electrically stores information such as a flash memory.

  When the recording medium 68 storing the personal network search program is set in the drive device 63, the personal network search program is installed from the recording medium 68 into the auxiliary storage device 64 via the drive device 63. Furthermore, the network search program downloaded from the communication network 60 may be installed in the auxiliary storage device 64 via the network connection device 67.

  The memory device 65 stores the installed human network search program and also stores necessary files, data, and the like. The memory device 65 reads and stores the personal network search program from the auxiliary storage device 64 at the time of activation. The arithmetic processing unit 66 implements various processes as will be described later in accordance with the personal network search program stored in the memory device 65.

<Processing flow of the network related information extracting unit 11>
Next, with reference to FIG. 4, a flow of processing for extracting the human network related information by the human network related information extracting unit 11 will be described. FIG. 4 shows the flow of processing extracted by the human network related information extracting means.

  As shown in FIG. 4, the personal network related information extracting unit 11 reads data to be extracted such as a plurality of minutes data that is a record of the meeting stored in the document DB 20 (S10), extracts information about the meeting, Along with the ID, it is recorded in the event DB 13 (S11).

  Here, the information regarding the conference includes, for example, the conference date, start / end time, place, conference name, keyword, conference organizer name, minutes creator name, and the like. As described above, the information to be extracted may be extracted based on structured tag information after, for example, the minutes data is converted into text, or the person name, date and time, etc. You may extract by the method. Further, the keywords to be extracted may be extracted by a conventional keyword extraction method of natural language processing, or may be extracted by a method of extracting a word / phrase series having a high word frequency.

  Next, the personal network related information extracting unit 11 extracts participants and the number of participants (S12). The number of participants is recorded in the event DB 13 for each conference.

  Next, the personal network related information extracting means 11 extracts the surname or surname of each participant from the data of the minutes, extracts the number of utterances spoken at the meeting and the number of mentions mentioned at the meeting, and the statement mention DB 14 The conference event ID is recorded in association with the number of utterances and the number of mentions (S13).

  Next, the network related information extracting unit 11 combines the participants who participated in the same conference from the participant information extracted in the minutes in S12 so as to form a pair, and the pair of participants (participation) Person pair) is extracted (S14). The pair of participants indicates a pair composed of a combination of two participants such as “Takashi Yamamoto-Tasaka Koike”, “Takashi Yamamoto-Kunio Shimizu”, etc. . Here, the organization to which the participant belongs may be extracted from the minutes data, or may be extracted from the personal name organization DB 16 based on the personal name.

  Next, the personal network related information extracting unit 11 searches the relation DB 15 for the participant pair extracted in the process of S14 and each organization name (S15), and the participant pair and each organization name are already recorded in the relation DB 15. It is determined whether or not (S16). If it is determined that it has already been recorded (YES in S16), the number of meetings that have been attended (meeting) in the face-to-face meeting is counted up (S17), and the participant pair has not yet been recorded in the relation DB 15 When it is determined (NO in S16), the participant pair is recorded in the relation DB 15 with the event ID and the “number of times of meeting” as “1” (S18).

  As will be described later, the human route evaluation means 18 adds weighting using the degree of association of the human route as an index, for example, using the “number of times of meeting” counted and recorded here.

<Examples of minutes used in this embodiment>
Here, the minutes used in this embodiment will be described with reference to FIG. 5A and 5B show examples of minutes used in the personal network search device according to the present embodiment.

  Note that the network related information extracting unit 11 uses, for example, “date / time”, “location”, “meeting name”, “host” from a plurality of minutes information as shown in FIGS. 5A and 5B (A) to (E). Information such as “author” and “creator” is extracted and stored in the event DB 13.

  Further, the network related information extracting means 11 extracts, for example, the “number of remarks” of the participant from the description explained by the meeting attendee in “meeting contents” or the like in the minutes of the minutes and stores it in the remark mention DB 14. Then, for example, “participant pair” is extracted from the personal name information obtained from “Attendees” of the minutes, etc., and stored in the relation DB 15.

  As described above, when the system includes a tag for these information in the electronic document of the minutes, the network related information extracting means 11 can extract the corresponding information based on the contents of the tag. it can. If there is no tag as described above, for example, a person name, date and time are extracted from an expression in the text of the electronic document based on an information extraction method such as natural language processing.

<Example of data content managed by event DB 13>
Next, data contents managed by the event DB 13 will be described with reference to FIG. FIG. 6 shows an example of data contents managed by the event DB.

  As shown in FIG. 6, in the event DB 13, information related to the meeting extracted from the minutes data in the document DB 20 by the above-described personal network related information extracting unit 11 is extracted, and for example, the event DB 13 is uniquely specified to identify an event such as a meeting. Along with the assigned “Event ID”, “Date”, “Start Time”, “End Time”, “Location”, “Meeting Name”, “Keyword”, “Organizer Name”, “ Stores the names of the minutes creators and the number of participants.

  For example, in “1” of “Event ID” in FIG. 6, “Date” is “2008.12.10”, “Start Time” is “10:00”, “End Time” is “12:00”, “Location” is “First Conference Room”, “Meeting Name” is “Security Meeting (1st)”, “Keyword” is “Security”, “Organizer” is “Yamamoto Takashi”, “Meeting Creator” "Is Yukiko Fujita" and "participants" is "4".

  Here, the keyword of the conference is extracted by using a natural language processing keyword extraction method or a method of extracting a series of words / phrases with high word frequency or noun from the minutes as described above. .

<Example of data content managed by the remark mention DB 14>
Next, data contents managed by the statement mention DB will be described with reference to FIG. FIG. 7 shows an example of data contents managed by the statement mention DB.

  As shown in FIG. 7, in the remark mention DB 14, the “person name” of the participant extracted from the minutes data of the document DB 20 by the human network related information extracting means 11 and the extracted participant participated as described above. Information such as the “event ID” of the conference and the “number of remarks made” by the participant in the conference of the extracted “event ID” is stored.

  For example, FIG. 7 stores information such as “Taka Yamamoto” as the “person name” of the participant and “1-1” as the “event ID / number of remarks”, from which “Taka Yamamoto” It can be seen that in the meeting with the “event ID” of “1”, the “number of times of utterance or mention” was “1”.

  Also, since the remark mention DB 14 includes, for example, “Yamamoto Takashi” (1-1) and “Koike Tadashi” (1-1), “Yamamoto Takashi” and “Koike Tadashi” are each “Event ID” “1”. ”And each time“ once ”it can be seen that they are speaking or mentioned in the meeting.

<Example of data content managed by relational DB 15>
Next, data contents managed by the relation DB 15 will be described with reference to FIG. FIG. 8 shows an example of data contents managed by the relational DB.

  As shown in FIG. 8, the relation DB 15 stores information on “participant pairs” extracted from the minutes data of the document DB 20 by the personal network related information extraction unit 11 as described above. For example, information on the organization name “organization 1” of the participant “person 1” and the organization name “organization 2” of the participant “person 2” is recorded as information on the “participant pair” and attended the face-to-face meeting. The “number of times of meeting”, “event ID string” of the meeting attended, etc. are recorded.

  For example, from FIG. 8, the number of “face-to-face” in which the participant “Takashi Yamamoto” (Information Research Center) and the participant “Makoto Koike” (Information Research Center) attended the face-to-face meeting is “4 times”. It can be seen that the “event ID” of the conference attended was “1, 2, 4, 5”.

  The network route search means 17 extracts a network route based on the information of the “participant pair” stored in the relation DB 15 and searches for a network route between predetermined routes from a specific person to a target person. To do. The network route between predetermined routes from the specific person to the target person can be searched through the mediator candidate. In addition, the network route evaluation means 18 adds a weight using the degree of association of the participant pair as an index based on the “number of encounters” that the pair of participants stored in the event DB 13 meets, and weights the added association degree. A ranking display of a plurality of human network routes retrieved from the result is performed.

<Example of data contents managed by personal name organization DB 16>
Next, data contents managed by the personal name organization DB 16 will be described with reference to FIG. FIG. 9 shows an example of data contents managed by the personal name organization DB.

  As shown in FIG. 9, the personal name organization DB 16 stores, for example, “person name”, “organization name”, “title”, and the like. These pieces of information are extracted from the organization DB 30 by “organization name” and “position” in correspondence with the participant information in the minutes data stored in the document DB 20 by the organization name / post extraction means 12 as described above. It may be extracted from the text data of the minutes.

  For example, FIG. 9 stores information such as “Yamamoto Takashi” as “Person Name”, “Information Research Center” as “Organization Name”, and “Group Leader” as “Title”.

<Processing flow of the human route search means 17>
Next, the flow of processing for searching for a human route by the human route search means 17 will be described with reference to FIG. FIG. 10 shows the flow of processing searched by the human route search means. Here, the target person of the personal network route searched by the human network route search means 17 is, for example, the name of an expert searched by the human resource search device 50, the human resource (target person) targeted by the user, or the like.

  The network route detecting means 17 extracts the network route from the participant pair in the relation DB 15 in which the information of the participant pair that is directly acquainted is stored, and mediates the network route from the specific person to the target subject. Search through candidate candidates. At this time, if the human network route becomes longer than the predetermined value and the target person cannot be reached, it is assumed that the human resources belonging to the same organization are acquainted with each other using the personal name organization DB 16. Form a human network route as a pair, and search for mediator candidates up to the target audience.

  Specifically, as shown in FIG. 10, the human network route search means 17 first searches the human network route search target as a search start human resource corresponding to a specific person, a user name (or a designated personal name), an organization name, and a purpose. The name and organization name of the search target human resources corresponding to the target person are set (S20).

  Next, the number of steps indicating the number of routes of the personal route is set to 0, and the development flag is set to 0 (S21). Here, the deployment flag replaces a human resource belonging to the same organization as the user (or designated human resource) as a start human resource when a direct network route from the user (or designated human resource) that is the starting human resource is not found. In this embodiment, for example, a setting for performing only once is performed.

  Next, the personal route search unit 17 searches the relation DB 15 for the user name and organization name that are the start human resources (S22). The personal route search unit 17 determines whether or not the number of steps of the searched human route is smaller than a predetermined value N (S23).

  When the number of steps of the human route is smaller than the predetermined value N (YES in S23), the human route search unit 17 continues the search. Here, the predetermined value N can be designated in advance by the system operator or the user, but from the viewpoint of an intermediary, the number of intermediaries between the start human resources and the target human resources is at most about two. There should be an upper limit.

  The network route search means 17 searches the relation DB 15 for the user name and organization name of the start human resource set as the search target (S24), determines whether there is a matching person name and organization name (S25), and matches. In the case (YES in S25), the search result is recorded in the route list (S26). Note that the search result is not recorded when the obtained pair is already on the network route.

  For example, the above-described contents will be described in detail. When searching for “Yukiko Fujita” (product planning room) in the relation DB 15 of FIG. 8 as a search target, the third, sixth, and eighth lines of the relation DB 15 correspond. The personal route search means 17 extracts and records the name of a person who is paired with “Yukiko Fujita” (product planning room) recorded in the corresponding line.

Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)
Yukiko Fujita (Product Planning Office)-Kunio Shimizu (Sales Division)
Next, the personal route search means 17 counts up the number of steps (S27), and sets the number of steps to 1, for example. Next, the personal route search unit 17 determines whether or not the route list recorded in the process of S26 includes the target person name and the organization name set in the process of S20 (S28).

  If the network route search means 17 determines that the target person name and organization name are in the route list (YES in S28), it extracts the relevant network route, and the network route evaluation means 18 extracts it on the route list. The human network routes that have been evaluated are rearranged, for example, in the order of higher evaluation (S29). Further, the rearranged route list is displayed on the display output means 19 such as an operation screen (S30), and the search is terminated.

  Further, when the personal route search means 17 determines that the target personal name and organization name are not on the route list (NO in S28), the personal name and organization name that are not search target keys, that is, recorded in the route list. A personal name and organization name at the end (right end) on the network route are newly set as search targets (S31).

  Next, the newly set search target is searched in the relation DB 15 (S22), and it is determined whether or not the number of steps is in a range smaller than a predetermined value N (S23). When it is determined that the number of steps is within a range smaller than the predetermined value N (YES in S23), it is determined whether there is a match with the search target person name or organization name set in the relation DB 15 (S25). If it is determined that they match (YES in S25), the obtained pair is added to the network route recorded in the route list.

  For example, the route list is stored as follows.

Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Tadashi Koike (Information Research Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)-Kunio Shimizu (Sales Division)
Yukiko Fujita (Product Planning Office)-Kunio Shimizu (Sales Division)-Taro Fujimoto (Design and Development Center)
Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Kunio Shimizu (Sales Division)
Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Taro Fujimoto (Design Development Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)-Taro Fujimoto (Design Development Center)
Here, it is determined whether or not the extracted pair has the target person name and organization name set in the processing of S20 (S28). For example, whether the target person name and organization name is “Taro Fujimoto” (design development center). If it is determined that the target personal name and organization name are in the route list (YES in S28), the corresponding personal route is extracted, and the extracted personal route is evaluated by the human route evaluation means 18. They are rearranged (S29), displayed on the operation screen by the display output means 19 (S30), and the search is terminated. Thereby, for example, the following human network route is obtained.

Yukiko Fujita (Product Planning Office)-Kunio Shimizu (Sales Division)-Taro Fujimoto (Design and Development Center)
Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Taro Fujimoto (Design Development Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)-Taro Fujimoto (Design Development Center)
Here, a human resource that is in the route between the start human resource and the target human resource is an intermediary candidate in the present embodiment. In the case of the above-mentioned personal network route, three persons, Kunio Shimizu (Sales Division), Takashi Yamamoto (Information Research Center), and Tadashi Koike (Information Research Center) are candidates for mediators.

  If the target person name and organization name cannot be obtained and it is determined that the number of steps exceeds the predetermined value N (NO in S23), and the person name and organization name matching the search target person name and organization name in the relation DB 15 are If it is determined that there is no human resource (NO in S25), it is determined whether there is a human resource of the same organization as the target human resource on the network route recorded in the route list (S32).

  When it is determined that there is a human resource of the same organization as the target human resource organization in the route list (YES in S32), the human network route search means 17 extracts the human network route with the human resource of the same organization as the target human resource organization as a termination ( The process proceeds to S33) and S29.

  Further, when it is determined that there is no human resource of the same organization as the target human resource organization in the route list (NO in S32), the personal network route search means 17 determines whether or not the development flag is 0 (S34). If it is determined that the expansion flag is 0 (YES in S34), the information of the route list in which the result of the already searched human route is recorded is deleted and cleared (S35).

  Next, the relation DB 15 is searched and extracted with another name of the same organization as the user name (S36). Further, 1 is set in the expansion flag (S37). The number of steps is counted up (S38), the person name and organization name extracted in the process of S36 are set as search targets (S39), and the process returns to S22.

  Here, the above-mentioned contents will be explained concretely. If there is no human resource of the same organization as the target human resource in the network route formed from “Yukiko Fujita” set as the starting human resource, it belongs to the same organization as “Yukiko Fujita” “Ayako Takahashi” is extracted from the relation DB 15 as a human resource to search for a human network route starting with “Ayako Takahashi”.

  If the target human resource is found in the network route searched from “Aiko Takahashi”, the search is finished there, and the network routes recorded in the route list in the process of S29 are evaluated and rearranged. As described above, the expansion flag is set to 1 when the replacement is performed in the same organization, and for example, this replacement is controlled to be performed only once.

  Specifically, when the starting human resource is “Yukiko Fujita” (product planning office) and the target human resource is “Takeshi Ogawa” (service center), as shown in the relation DB 15 of FIG. In the second stage, the following human network route is formed.

Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Tadashi Koike (Information Research Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)-Kunio Shimizu (Sales Division)
Yukiko Fujita (Product Planning Office)-Kunio Shimizu (Sales Division)-Taro Fujimoto (Design and Development Center)
Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Kunio Shimizu (Sales Division)
Yukiko Fujita (Product Planning Office)-Takashi Yamamoto (Information Research Center)-Taro Fujimoto (Design Development Center)
Yukiko Fujita (Product Planning Office)-Tadashi Koike (Information Research Center)-Taro Fujimoto (Design Development Center)
At this time, if the predetermined value N is set to “2” in the process of S23, for example, the number of steps is less than 2, and the process proceeds to the process of S32, and the development flag is 0 in the process of S34. In this process, the result of the personal route extracted as described above is deleted, and the route list information is cleared.

Next, “Ayako Takahashi” is extracted as a human resource of the same organization as “Yukiko Fujita” in the process of S36, the personal name and organization name of “Ayako Takahashi” are set as search targets in the process of S39, and the process returns to S22. The relation DB 15 is searched. Here, for example,
Aiko Takahashi (Product Planning Office)-Kunio Shimizu (Sales Strategy Department)
Aiko Takahashi (Product Planning Office)-Takeshi Ogawa (Service Center)
The human network route is searched, and the personal network route to the target human resource “Takeshi Ogawa” can be formed.

  Further, in the process of S23, when the number of steps exceeds the predetermined value N, there is no searchable person name in the relation DB 15, and the expansion flag is not 0 (NO in S34), among the organization names of the human resources in the route list, It is determined whether or not there is the same organization as the target human resource organization (S40).

  If there is the same organization as that of the target human resource (NO in S40), the corresponding network route is extracted from the corresponding route list (S41), and the extracted network route is evaluated and evaluated in the process of S29. In the process of S30, the network route is displayed on the display output means 19 as the evaluation result, and the process ends.

  Here, the above-described contents will be described in detail. For example, when the starting human resource is “Yukiko Fujita” (product planning office) and the target human resource is “Shizuo Ito” (service center), in the process of S36, “Yukiko Fujita” “Aiko Takahashi” (product planning room) is searched as a person name of the same organization as “(product planning room)”, extracted as a mediator candidate, returns to the process of S22 through the processes of S37 to S39.

  Further, in the process of S23, since the number of steps exceeds the predetermined value 2, there is no searchable person name in the relation DB 15, and the expansion flag is 1, in the process of S40, among the organization names of human resources in the route list, the target It is determined whether there is the same organization as the organization (service center) of human resources (Shizuo Ito).

Aiko Takahashi (Product Planning Office)-Taro Fujimoto (Design Development Center)-Takashi Yamamoto (Information Research Center)
Aiko Takahashi (Product Planning Office)-Taro Fujimoto (Design Development Center)-Tadashi Koike (Information Research Center)
Aiko Takahashi (Product Planning Office)-Taro Fujimoto (Design Development Center)-Kunio Shimizu (Sales Division)
Aiko Takahashi (Product Planning Office)-Takeshi Ogawa (Service Center)
Since it is recorded in the route list as described above, “Takeshi Ogawa” can be obtained as a human resource belonging to the organization (service center) of the target human resource (Shizuo Ito). Thereby, in the process of S41,
Aiko Takahashi (Product Planning Office)-Takeshi Ogawa (Service Center)
Can be obtained as a result of the human network route searched.

  If the processing pattern described above is implemented and there is no organization identical to that of the target human resource in the processing of S40, it is displayed on the display output means 19 that there is no human network route to be searched (S42). finish.

<Other embodiments>
Next, the functional configuration of the personal network search device in which the post is added to the above-described embodiment will be described with reference to the drawings. FIG. 11 is a diagram showing functional blocks of the personal network search device to which the post table is added.

  As shown in FIG. 11, compared with FIG. 2 described above, the network search device 70 is provided with a post table 71 in which each post in the organization of the company is stored together with identification information in order from the upper post. The post table 71 will be described later.

  In another embodiment, the network route evaluation unit 18 uses the post table 71 to calculate the difference (level difference) between the link source and the link destination post of the human network route searched by the human route search unit 17, and Assess the relevance of.

  Next, the flow of processing for evaluating the degree of relevance of the human route by the human route evaluation means 18 will be specifically described.

<Processing flow of human route evaluation means 18>
FIG. 12 shows the flow of processing evaluated by the human route evaluation means. The personal route evaluation means 18 evaluates the relevance of the personal route for each of the extracted human routes in the process of S29 in FIG.

  As shown in FIG. 12, the human route evaluation means 18 first determines the relevance of the human route based on the number of face-to-face participation in the same conference of the participant pair constituting the human route extracted in the process of S29 of FIG. 10. Evaluate (S50). Here, as the number of face-to-face meetings in the same meeting increases, the connection between the participants becomes stronger. In this embodiment, for example, weighting is added for each human body route based on the number of face-to-face meetings, and the degree of association of the human body route is evaluated. .

  For example, it is assumed that the following three routes are searched by the network route search means 17 as a network route from the start human resource “Yukiko Fujita” to the target human resource “Taro Fujimoto” as follows.

Yukiko Fujita-Kunio Shimizu-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Tadashi Koike-Taro Fujimoto The personal network route evaluation means 18 obtains the “number of face-to-face” of the participant pairs constituting the personal network route from the relation DB 15. . Specifically, the human network route evaluation means 18 obtains the “number of times of meeting” between the target human resource “Taro Fujimoto” and each pair of “Kunio Shimizu”, “Takashi Yamamoto”, and “Makoto Koike” that constitutes the human network route. For example, the order of the personal route is rearranged in the order of “number of times of meeting”.

  Next, obtain the number of “face-to-face” with each pair of “Kitsuo Shimizu”, “Takashi Yamamoto”, and “Masaka Koike” who make up the personal route with the starting human resource “Yukiko Fujita”. Rearrange the order.

  As shown in the relation DB 15 in FIG. 8, the pair of “Taro Fujimoto” and “Makoto Koike”, “Taro Fujimoto” and “Takashi Yamamoto” has “3”, “Taro Fujimoto” and “Taro Fujimoto” The “Number of Faces” of the pair of “Kunio Shimizu” is “2”. In addition, “the number of times of meeting” with each pair of “Yukiko Fujita”, “Kunio Shimizu”, “Takashi Yamamoto”, and “Makoto Koike” is “1”.

  In such a case, as a result of evaluating the relevance of the human route, the above-described three routes are rearranged in the following order. The network route may be rearranged according to the “total number of face-to-face meetings”.

1st place: Yukiko Fujita-(Number of meetings: 1)-Tadashi Koike-(Number of meetings: 3)-Taro Fujimoto 2nd place: Yukiko Fujita-(Number of meetings: 1)-Takashi Yamamoto-(Number of meetings: 3)- Taro Fujimoto 3rd place: Yukiko Fujita-(Number of face-to-face: 1)-Kunio Shimizu-(Number of face-to-face: 2)-Taro Fujimoto In addition, the degree of relevance of the network route is evaluated by the network route evaluation means 18, and the order of the degree of association is high When the rearranged result is displayed on the display output means 19, the “number of times of meeting” may be displayed on the personal route as described above. As a result, when the user wants to access the target human resource, he / she can participate in the conference with the target human resource more frequently and preferentially find the facing human resource as an intermediary.

  Next, the personal route evaluation means 18 evaluates the degree of association of the personal route based on the number of participants in the conference in which the participant pairs that make up the personal route participate (S51). Here, the number of participants in the conference indicates the scale of the conference. The smaller the number of participants who participated in the conference, the stronger the connection between the participants, and the larger the number of participants who participated in the conference, the more mutual the participants are. It shall be weakened. That is, in this embodiment, for example, weighting is added for each human route based on the number of participants in the conference, and the degree of association of the human route is evaluated.

  For example, it is assumed that the following three routes are searched by the human route search means 17 in the same manner as shown in the processing example of S50.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto Here, the network route evaluation means 18 was attended by a pair of participants who made up a network route as described above. As the number of participants in the conference is smaller, the connection between the participants becomes stronger. For example, “reciprocal of the number of participants” is used as the relevance of the network route. The network route evaluation means 18 acquires the event ID of the conference in which the pair of participants participated from the relation DB 15, and acquires the corresponding number of participants in the conference from the event DB 13 from the event ID of the conference. The evaluation may be performed by combining the “number of times of meeting” used in the process of S50.

  For example, the participant pair of “Makoto Koike” and “Taro Fujimoto” who constitutes the personal network route of “Masa Koike”-“Taro Fujimoto” has both event IDs “2” and “4” as shown in the relation DB 15 of FIG. ”,“ 5 ”, and the number of participants in each conference is“ 10 ”as shown in the event DB 13 of FIG.

  When evaluating the relevance level of the human network route by combining the above-mentioned “number of times of meeting”, the human network route evaluating means 18 calculates the relevance level of the human network route by “reciprocal number of participants” × “number of times of meeting”. Specifically, since the “number of face-to-face” is “3 times” and the number of participants in the conference is “10 people”, the relevance level of the personal route between “Koike Tadashi”-“Taro Fujimoto” It is calculated as “0.1” × “3” = “0.3”.

  Similarly, the relevance of the network route “Taka Yamamoto” − “Taro Fujimoto” is calculated by “reciprocal number of participants” × “number of times of meeting”. Specifically, the “number of face-to-face” of the participant pair “Yamamoto Takashi” and “Taro Fujimoto” is “3 times”, and event IDs “2”, “4”, and “5” of the conference that participated together. Since the number of participants is “10”, the relevance of the personal route is calculated as “0.1” × “3” = 0.3.

  Similarly, the relevance degree of the personal route between “Kunio Shimizu”-“Taro Fujimoto” is calculated. The “number of meeting” of the pair of participants of “Kunio Shimizu” and “Taro Fujimoto” is “2 times”, the event IDs of the conferences that participated together are “2” and “3”, and the event ID “2” Since the number of participants is “10 people” and the event ID “3” is the number of participants “4 people”, it is calculated as “0.1” + “0.25” = 0.35.

  From the above, the three routes described above are rearranged in the following order.

1st place: Yukiko Fujita-(0.25)-Kunio Shimizu-(0.35)-Taro Fujimoto 2nd place: Yukiko Fujita-(0.25)-Tadashi Koike-(0.3)-Taro Fujimoto 3 Rank: Yukiko Fujita-(0.25)-Takashi Yamamoto-(0.3)-Taro Fujimoto Next, the human route evaluation means 18 is a participant pair in a conference in which a pair of participants who make up the human route participated. The relevance level of the personal route is evaluated based on the number of remarks mentioned (S52).

  Here, the number of utterances and the number of mentions are the number of times each pair of participants has spoken at the meeting, and the name of the person in charge of the task (work) or assignment at the meeting, or from the participants participating in the meeting It is the number of times the name is mentioned. As the number of such utterances and mentions increases, the degree of involvement in the meeting increases, and the connection between participants who are highly involved in the meeting is strong, and the degree of relevance of the network route is also high. Evaluate as a thing. That is, in this embodiment, for example, weighting is added for each human route based on the number of times of utterance and the number of times of mention, and the degree of association of the human route is evaluated.

  For example, it is assumed that the following three routes are formed by the personal route search means 17 in the same manner as shown in the example of the process of S50.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto Here, as described above, the human route evaluation means 18 includes a pair of participants constituting a human network route. If remarks and mentions are made at the meeting attended together, the connection between the participants will be strengthened, and the relationship of the personal route will be evaluated to be high.

  For example, as shown in the remark mention DB 14 in FIG. 7, among the three routes described above, the participant pair of “Koike Tadashi” and “Fujimoto Taro” who constitute the personal route of “Koike Tadashi”-“Taro Fujimoto” In the meeting with the event ID “2”, the speech is made and mentioned “once” each time.

  When evaluating the relevance level of the human network route, the human network route evaluation means 18 adds an evaluation score of, for example, “0.1” for remarks and references in one meeting, and evaluates the relevance level of the human network route. An evaluation score of “0.2” is added to the relevance of the network route of “Koike Tadashi”-“Taro Fujimoto”. As a result of this evaluation, the above-mentioned three routes are rearranged in the following order.

1st place: Yukiko Fujita-(0.25)-Tadashi Koike-(0.5)-Taro Fujimoto 2nd place: Yukiko Fujita-(0.25)-Kunio Shimizu-(0.35)-Taro Fujimoto 3 Rank: Yukiko Fujita-(0.25)-Takashi Yamamoto-(0.3)-Taro Fujimoto Next, the human network route evaluation means 18 is that the participants of the pair of participants who make up the human network route are the organizers of the conference. If the meeting minutes are created, the degree of relevance of the human network route is evaluated (S53). Here, if you are a meeting organizer or a meeting minutes maker, your degree of involvement in the meeting will be stronger, and the degree of relevance of the personal network route will be higher than other participants in the meeting. . In other words, in the present embodiment, for example, when a conference organizer or a meeting minutes maker is created, a weight is added to each network route to evaluate the degree of association of the network routes.

  For example, it is assumed that the three routes are searched by the human route search means 17 in the same manner as shown in the processing example of S50.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto Here, the human network route evaluation means 18 is the organizer of the conference among the participants who compose the human network route from the event DB 13. Search for the person who created the minutes of the conference. For example, as shown in the event DB 13 in FIG. 6, among the participants constituting the personal network route, in the event ID “1”, “Yamamoto Takashi” is the organizer, “Fujita Yukiko” is the minutes creator, With ID “3”, “Taro Fujimoto” is the organizer.

  Therefore, the degree of association from “Yamamoto Takashi” to other participants, the degree of association from “Yukiko Fujita” to other participants, the degree of association from “Taro Fujimoto” to “other participants”, that is, Increase the relevance of the network route. It should be noted that “other participants” whose degree of association with the person who became the meeting organizer and meeting minutes producer is increased from the pair of participants in the relation DB 15 of FIG.

  The human network route evaluation means 18 evaluates the relevance of the human network route. For example, when one of the participant pairs is a meeting organizer and a meeting minutes maker, a link to the other of the participant pairs is provided. For example, an evaluation score of “0.1” is added to increase the relevance of the personal route.

  For example, an evaluation score of “0.2” is added to each “0.1” for the relevance level of “Yukiko Fujita”-“Takashi Yamamoto”, and a personal route of “Yukiko Fujita”-“Tasaka Koike” As for the relevance level of the rating route “0.1”, “Yukiko Fujita”-“Kunio Shimizu”, the relevance level of the rating “0.1”, “Taro Fujimoto”-“Kunio Shimizu” The evaluation score “0.1” is added to the relevance level of the personal route.

1st place: Yukiko Fujita-(0.1)-Kunio Shimizu-(0.1)-Taro Fujimoto 1st place: Yukiko Fujita-(0.2)-Takashi Yamamoto-(0)-Taro Fujimoto 3rd place: Yukiko Fujita-(0.1)-Tadashi Koike-(0)-Taro Fujimoto As a result of this evaluation, the routes described above are rearranged in the following order.

1st place: Yukiko Fujita-(0.35)-Tadashi Koike-(0.5)-Taro Fujimoto 2nd place: Yukiko Fujita-(0.35)-Kunio Shimizu-(0.45)-Taro Fujimoto 3 Rank: Yukiko Fujita-(0.45)-Takashi Yamamoto-(0.3)-Taro Fujimoto Note that the values such as evaluation points added to the relevance of the above-mentioned personal network route and the way of adding are particularly in the present invention. It is not limited, and for example, it is possible to perform processing such as multiplication by an integer, or subtraction as a high degree of relevance when the value is low.

  Next, the network route evaluation means 18 evaluates the relevance level of the network route based on the name of the conference and the keyword of the conference in which the pair of participants making up the network route participated (S54). Here, since the meeting name and the keyword of the meeting are the basis for configuring the human network route, when the user accesses the target human resource, the human network route linked to the content to be accessed is connected. It becomes possible to select preferentially.

  For example, it is assumed that the following three routes are searched by the human route search means 17 in the same manner as shown in the processing example of S50.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto Here, the human network route evaluation means 18 is a conference in which a participant pair who composes a human network route from the relation DB 15 first participated. The event ID string is acquired, and the conference name and the conference keyword are acquired from the event DB 13 based on the acquired event ID string. In addition, the network route evaluation means 18 can display the acquired conference name and keyword on the network route.

  For example, when a keyword is displayed, it is as follows.

Yukiko Fujita-"1"-Tadashi Koike-"2"-Taro Fujimoto "1" Security "2" New model, specifications, security, problems, schedule, system Yukiko Fujita-"1"-Takashi Yamamoto-"2"- Taro Fujimoto “1” Security “2” New Model, Specifications, Security, Problems, Schedule, System Yukiko Fujita-“1”-Kunio Shimizu-“2”-Taro Fujimoto “1” Security “2” New Model, Specifications, Customer Needs As described above, when the human network route evaluation means 18 displays the meeting name, keywords, etc. in the human network route, for example, when “Yukiko Fujita” wants to access the target human resources related to “customer needs”. Can be requested from “Kunio Shimizu” to “Taro Fujimoto”.

  Further, for example, in the process of S20 of FIG. 10, the user sets a keyword related to the target human resource, so that the personal route including the keyword by the human route evaluation means 18 among the human routes searched by the human route search means 17. You may evaluate the relevance degree of a personal route by adding weights, such as extracting and displaying only a route. As a result, the user can preferentially select a personal route that is linked with content close to the content to access the target human resource.

  Next, the personal route evaluation means 18 evaluates the relevance level of the personal route based on the difference in the positions of the participant pairs constituting the personal route (S55). Here, as a human network route that is easier for the user and the mediator to access when the position difference is smaller, in this embodiment, for example, weighting is added for each human route based on the position difference, and the relevance of the human route is evaluated. . The process of S55 will be described later.

  Moreover, the human network route evaluation means 18 may select and evaluate at least one of the processes of S50 to S55 described above, or may evaluate it in combination. It is also possible to change the evaluation result depending on whether the link source is a link between people of different organizations or a link between people of the same organization.

  In addition to the processing described above, the personal network route evaluation means 18 may display, for example, post information on the extracted personal network route. Here, since the degree of ease of request varies depending on the position, it is displayed so that the user can make a determination.

  For example, three routes are obtained from the user “Yukiko Fujita” to the target human resource “Taro Fujimoto” as described above.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto The information on titles is extracted from the name organization DB 16 and the like for these three routes.

Yukiko Fujita (Chief)-Tadashi Koike (Chief)-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-Takashi Yamamoto (Group Leader)-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-Kunio Shimizu (Chief)-Taro Fujimoto (Chief)
In addition to the processing described above, the human network route evaluation means 18 may further display, for example, the minutes of the conference in which the participant pair has participated on the extracted route of the human network route. Specifically, the network route evaluation means 18 displays the event ID of the conference recorded in the event DB 13 on the network route, and links so that the minutes can be referred to from the event ID.

Yukiko Fujita-"Event ID 1"-Tadashi Koike-"Event ID 2, 4, 5"-Taro Fujimoto Yukiko Fujita-"Event ID 1"-Takashi Yamamoto-"Event ID 2, 4, 5"-Taro Fujimoto Yukiko Fujita-"Event ID 1 -Kunio Shimizu-"Event ID 2, 3"-Taro Fujimoto <An example of data contents managed by the title table 71>
Next, data contents managed by the post table will be described with reference to FIG. FIG. 13 shows an example of the data contents managed by the post table.

  As shown in FIG. 13, each post in the company organization is stored in the post table 71 together with identification information in order from the top post. In the example shown in FIG. 13, each position in the organization includes, for example, “1 business division head”, “2 division head”, “3 room head”, “4 group leader (G leader)”, “5 head”, “6 head ”, And numbers and titles are assigned in descending order.

  The network route evaluation means 18 calculates a difference in position (level difference) using the position table 71 with respect to the connection route searched by the connection route search means 17, for example, a connection route by a pair with a small difference in position. Is given priority. Thereby, the user can obtain a human network route that is easy to request.

<Flow of processing to calculate height difference between positions>
Next, the flow of processing for calculating the height difference of positions by the personal network route evaluation means 18 will be described with reference to FIG. FIG. 14 is a flowchart showing the flow of processing for calculating the height difference of positions by means of the network route evaluation means.

  In the flowchart shown in FIG. 14, first, the personal route evaluation unit 18 acquires the post number corresponding to the post that is the link source of the personal route from the post table 71 for the personal route searched by the personal route search unit 17 (S60). ). Next, the job title number corresponding to the job title linked to the network route is acquired from the job title table 71 (S61).

  Next, the personal network route evaluation means 18 calculates “link source post number−link destination post number” (S62), and sets the calculation result as the height difference of the post (S63).

  For example, it is assumed that the routes searched by the personal route search means 17 are the following three routes.

Yukiko Fujita-Tadashi Koike-Taro Fujimoto Yukiko Fujita-Takashi Yamamoto-Taro Fujimoto Yukiko Fujita-Kunio Shimizu-Taro Fujimoto As described above, when titles are displayed on the three human network routes, they are displayed as follows.

Yukiko Fujita (Chief)-Tadashi Koike (Chief)-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-Takashi Yamamoto (G Leader)-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-Kunio Shimizu (Chief)-Taro Fujimoto (Chief)
When the processing of SS60 to S63 described above is executed, the height difference between the positions can be displayed on the three human network routes as follows.

Yukiko Fujita (Chief)-"1"-Tadashi Koike (Chief)-"0"-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-"2"-Takashi Yamamoto (G Leader)-"-1"-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-"1"-Kunio Shimizu (Chief)-"0"-Taro Fujimoto (Chief)
Next, if the network routes displaying the height difference are arranged in ascending order of job titles, they can be displayed as follows.

Yukiko Fujita (Chief)-"1"-Tadashi Koike (Chief)-"0"-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-"1"-Kunio Shimizu (Chief)-"0"-Taro Fujimoto (Chief)
Yukiko Fujita (Chief)-"2"-Takashi Yamamoto (G Leader)-"-1"-Taro Fujimoto (Chief)
As described above, the network route evaluation unit 18 preferentially evaluates the network route with a small job difference, and the evaluation result is displayed on the display output unit 19, so that the user and the mediator can easily request a network route. Can be obtained.

<Example of display screen in this embodiment>
Next, a display screen example in the present embodiment will be specifically described with reference to the drawings. FIG. 15 shows an example of a display screen showing the result of the human route search by the human route search means. The network route search means 17 of the present embodiment forms a network route from a plurality of minutes information, and displays the formed network route on the screen as a map shown in FIGS. 15 (A) and 15 (B). Can do.

  In FIG. 15, the ◯ part indicates a person, “A” to “Z” described in the ◯ part indicate a person's name, and the parenthesized name indicates the organization name to which the person belongs. In FIG. 15A, for example, when the user who is the starting human resource is “U (O development center)” indicated by a bold line and the target human resource is “A (product planning)”, the organization “ Among the human resources at the “O development center”, the human resources “B” to “G” at the “O development center” indicated by the dotted line in FIG. The user “U” can select an intermediary that mediates between the user “U” and the target human resource “A” from these intermediary candidates.

  In this way, by visualizing the human resources around the target human resources with the map showing the human network route in FIG. 15A, the person in charge around the target human resources and the organization to which the target human resources belong are in a meeting. It is possible to visualize the human resources of the user's organization and select an intermediary from the start human resource to the target human resource.

  FIG. 15B is an enlarged view of a part of FIG. 15A. Minutes information (for example, information analysis technology) when a personal route is formed as “topic:” on the personal route. Is shown. Here, the minutes information is information indicating, for example, “meeting name”, “keyword”, etc. of the minutes. Using this information, the user can narrow down the mediator candidates from the start human resource to the target human resource.

  FIG. 16 shows an example of a display screen in which the number of face-to-face meetings is added to the result of the human route search by the human route search means.

  Here, when the user “U (O development center)” who is a start human resource tries to access the target human resource “A (product planning)” via an intermediary of the same organization (O development center) as the user, The result searched by the human route search means 17 is shown.

  The network route search results shown in FIG. 16 include the mediator candidate from the user to the target human resource, the number of times the mediator candidate meets the target human resource, the meeting name when the mediator candidate participates in the same conference as the target human resource, etc. Is displayed. Here, the number of face-to-face meetings is the number of face-to-face mediator candidates and target human resources faced in the same meeting, acquired from the relation DB 15 by the personal network route evaluation means 18.

  From the display screen shown in FIG. 16, the mediator candidate “E (O Development Center)” has “12” as the number of face-to-face meetings with the target human resource “A (product planning)”. It can be seen that this was “Investigation / regular meeting of information analysis technology, survey of mining technology”.

  In addition, the mediator candidate “B (O Development Center)” has “5” as the number of face-to-face meetings with the target human resource “A (product planning)”. In addition, the intermediary candidate “B (O Development Center)” is the target human resource “J (product planning)” of the same organization and the number of meeting is “8”, and the name of the meeting that participated together However, it can be seen that it was “universal design study, user survey, acceptability study”.

  In addition, as shown in FIG. 16, it is possible to display the network routes searched by the human network route search unit 17 in the descending order of the number of face-to-face using the number of times of contact by the human network route evaluation unit 18. The method of applying is not limited to this in the present invention.

  As described above, by displaying the human network route map shown in FIG. 15 or displaying the number of encounters on the human network route as shown in FIG. 16, the target human resource from the start human resource to the mediator candidate is displayed to the user. It is possible to accurately grasp the degree of association of the human network route up to and including.

  As described above, according to the present invention, it is possible to search for an appropriate network route to a target human resource using a plurality of minutes information as a result of face-to-face communication.

The invention made by the present inventor has been specifically described based on the preferred embodiments. However, the present invention is not limited to that described in the above embodiments, and various modifications can be made without departing from the scope of the invention. Is possible.

10, 70 Human network search device 11 Human network extracting means 12 Organization name / post extracting means 13 Event DB
14 Remark mention DB
15 Relational DB
16 Person organization DB
17 Human route detection means 18 Human route evaluation means 19 Display output means 20 Document DB
30 organization DB
40 user PC
50 Human Resource Search Device 60 Communication Network 61 Input Device 62 Output Device 63 Drive Device 64 Auxiliary Storage Device 65 Memory Device 66 Arithmetic Processing Device 67 Network Connection Device 68 Recording Medium 71 Title Table 100 Human Network Search System

Japanese Patent No. 3446886 JP 2005-259074 A

Claims (10)

In a human network search device that searches for a human network between a specific person and a target person,
A network related information extracting means for extracting network related information indicating that the participants who attended the meeting are related to each other from an electronic document of a plurality of minutes data in which the contents of the meeting are recorded;
From the network related information extracted by the network related information extracting means, extract the network route between the participants, from the specified person who participated in the meeting designated in advance using the extracted one or more network routes A network search device comprising: a network route search means for searching for a network route between predetermined routes to the target person.   A weight is added to each of the participant's connection routes extracted by the connection route search means using the relationship degree of the connection as an index, and the connection degree of the connection route between the predetermined routes is determined based on the added weight. The human network search device according to claim 1, further comprising a human network route evaluation unit for evaluation. The network route search means includes:
The network search device according to claim 1 or 2, wherein at least one participant among the participants who participated in the conference is used as an intermediary to search for a human network route between the predetermined routes via the mediator. . The network route search means includes:
The human network search device according to claim 3, wherein the intermediary is searched from an organization to which the specific person and the target person to which the target belongs belong respectively. The network route evaluation means includes:
The weighting is based on at least one of a degree of confrontation between the participants, a degree of participation of the participants in the conference, a name of the conference, a keyword extracted from the conference, and a position of the participants. The human network search device according to claim 2, further comprising:   Display output means for outputting at least one of a human route search result between predetermined routes searched by the human route search means and a human route evaluation result between predetermined routes evaluated by the human route evaluation means. The human body search device according to claim 2. In a human network search method executed by a human network search device that searches for a human network between a specific person and a target person,
A network-related information extraction procedure for extracting network-related information indicating that the participants who attended the meeting are related to each other from electronic documents of a plurality of minutes data in which the contents of the meeting are recorded;
From the human network related information extracted by the human network related information extraction procedure, extract the human network route between the participants, and use the extracted one or more human network routes from the specific person who participated in the conference designated in advance. A network search method comprising: a network route search procedure for searching for a network route between predetermined routes to the target person.   A weight is added to each of the participant's connection routes extracted by the connection route search means using the relationship degree of the connection as an index, and the connection degree of the connection route between the predetermined routes is determined based on the added weight. 8. The method for searching for a human network according to claim 7, further comprising a procedure for evaluating a human network route for evaluation. In a human network search program that searches for human connections between a specific person and a target audience,
Computer
A network-related information extracting means for extracting network-related information indicating that the participants attending the meeting are related to each other from an electronic document of a plurality of minutes data in which the contents of the meeting are recorded;
From the network related information extracted by the network related information extracting means, extract the network route between the participants, from the specified person who participated in the meeting designated in advance using the extracted one or more network routes A network search program that functions as a network route search means for searching for a network route between predetermined routes to the target subject.   A weight is added to each of the participant's connection routes extracted by the connection route search means using the relationship degree of the connection as an index, and the connection degree of the connection route between the predetermined routes is determined based on the added weight. The network search program according to claim 9, further comprising a network route evaluation means for evaluating.

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