JP2010244101A - Personal connection database system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To update a personal connection database, with data uniquely input by an individual user or data related to a personal connection automatically acquired in a daily life. <P>SOLUTION: A personal connection database system includes: an information collection means (1) for collecting a personal information data set; an information generation means (2) for generating personal connection information from the personal information data set collected by the information collection means; an information recording means (3) for recording the personal connection information generated by the information generation means; an information exchanging means (4) for exchanging the personal connection information, generated by the information generation means, for the other user; and an information presentation means (5) for presenting the personal connection information to the user. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a human network database system.

  In the flow of the ubiquitous society, attention is focused on how computers and systems support users' lives and actions. One of the important technologies is assistive technology for obtaining highly reliable information by relying on the relationship between other users.

  Japanese Patent Laid-Open No. 2007-265014 (Patent Document 1) extracts and visualizes human connections that have a certain level of trust with respect to target knowledge in a network space, so that other users can use the web log contents belonging to the human connections. It describes a human resource search system that supports the collection of high-quality knowledge.

  FIG. 1 shows a human resource search system disclosed in Patent Document 1. This human resource search system includes various databases, a data exchange device, a search condition input device, a search result output device, and a communication device. In this human resource search system, it is determined that there is a certain trust relationship between the users registered in the acquaintance URL of the author of the weblog content and the users who are mutually recognized as acquaintances.

  Japanese Patent Application Laid-Open No. 2006-164086 (Patent Document 2) discloses business card information registered in a database and information (for example, a paper) describing the person who exchanged the business card, and the field of expertise or specialty of the person. Online knowledge that holds information categorized and presents the route from the personal network that the user holds by keyword search, and introduces with a referral letter according to the route. A search support apparatus is disclosed.

  FIG. 2 shows an online knowledge search support device disclosed in Patent Document 2. This online knowledge search support device is composed of a weblog server, a knowledge resource collection device, a knowledge resource search support server, and an end user terminal. In this online knowledge search support device, a letter of introduction is transmitted to a person having desired knowledge by keyword search of the user.

  Japanese Patent Laying-Open No. 2003-132158 (Patent Document 3) discloses a personal network information management system in which each user registers a relationship with a target person as personal network information and uses it to generate a personal network relationship with that person. is doing. In the personal network information management system disclosed in Patent Document 3, when a personal relationship is generated, it is registered as personal network information of a registered person, and a personal relationship is generated using the information. At the time of generating a personal relationship, the personal network information management system calculates the strength of the personal network based on the personal network information of the registered person and loads the trust relationship information between users. It is possible to build a network that introduces people who trust.

  Japanese Patent Laying-Open No. 2005-259164 (Patent Document 4) discloses an association information management system that associates and manages various pieces of information of members. The association information management system disclosed in Patent Document 4 stores information on the direction of the relationship between the individual identification information unique to the members, information on the direction related to the mutual relationship, information on the degree of relationship, and position time-series information. Relation vector table storage means.

  Japanese Unexamined Patent Application Publication No. 2007-26419 (Patent Document 5) discloses a system for managing social network information. In the system disclosed in Patent Literature 5, the personal network information generation program periodically refers to the real community information DB, and provisional real community information corresponding to newly accumulated real community information, its area ID and exchange period And the like, and the corresponding attribute information of the person is acquired from the person attribute ID list. In addition, the network information generation program sums up the geographical distance between persons and the number of exchanges for each personal network information ID, and sums the total value and the type-specific weighting parameter. Set to strength.

  Japanese Patent Laying-Open No. 2007-87432 (Patent Document 6) discloses a personal network relationship registration system that actively supports a wider and deeper relationship. In the personal network relationship registration system disclosed in Patent Document 6, a registrant can establish a human relationship with another registrant and obtain a relationship frequency representing the degree of the human relationship. In order to establish a personal relationship, for example, a flower mail is sent to a specific registrant. The relationship frequency between those that have a human relationship is the largest, and the relationship frequency decreases as the linked human relationship becomes indirect.

JP 2007-265014 A (FIG. 1) JP 2006-164086 A (FIG. 1) JP 2003-132158 A Japanese Patent Laying-Open No. 2005-259164 (paragraph [0013]) JP 2007-26419 A (paragraphs [0039] and [0042]) JP 2007-87432 A (paragraph [0033])

  However, the link information and the quality of the personal network are constantly changing and are not fixed. A problem in the case of using the techniques of Patent Document 1 and Patent Document 2 is that, unless the user himself / herself updates the database, a link is also present in a person who is hardly connected at present. In addition, when these techniques are used, there is no guarantee regarding link quality, and thus there is a possibility that desired cooperation cannot be obtained through the obtained human resources or personal connections.

  In addition, the human side cannot be measured only by the part visible to a specific individual. For example, while Mr. A and Mr. B meet and talk at the conference venue, it may be found that there is a common friend named Mr. C. At this time, Mr. A and Mr. B have discovered a new aspect of Mr. C, and the evaluation and reliability of Mr. C thereafter may change. The problem with the technology of Patent Document 3 is effective in terms of expanding the personal network that it has, but information from other users is reflected in the update on the data of human resources who are already acquaintances. That is not to be done.

  The “human aspect” here refers to an evaluation of a certain person as seen from various other people.

  Note that Patent Document 4 includes relation vector table storage means for storing direction information relating to the mutual relationship between the individual identification information unique to the member, information on the relationship classification including the degree of the relationship, and position time series information. It only discloses a related information management system. Further, Patent Document 5 periodically refers to the real community information DB, provisional real community information corresponding to newly accumulated real community information, corresponding situation information corresponding to the area ID, the exchange period, and the like, The attribute information of the corresponding person is acquired from the person attribute ID list, and for each personal network information ID, the geographical distance between the persons and the number of exchanges are multiplied and totaled. It merely discloses a personal network information generation program in which the value obtained by integrating the parameters is set as the person strength. Furthermore, Patent Document 6 discloses that a registrant can establish a human relationship with another registrant and obtain a relationship frequency that represents the degree of the human relationship. For example, a human relations registration system is disclosed in which a flower mail is sent to the person, and the relationship frequency between those having a human relationship is the largest, and the relationship frequency decreases as the linked human relationship becomes indirect. It ’s just that.

  The object of the present invention is obtained by analyzing and evaluating data input by a user individually in a user's individual, low-level data related to human relations automatically acquired in daily life, and the data. An object of the present invention is to provide a personal network database system that holds the latest information by updating the personal database with high-level data.

  Another object of the present invention is to exchange information with other users by exchanging human network information including quality information of human relation links held by each user among a plurality of users. An object of the present invention is to provide a high-quality personality database system that refers to the evaluation of various people by updating the personality database in accordance with the level of information exchanged from existing information originally held by the user.

  The human network database system according to the present invention includes an information collecting unit that collects a personal information data set, an information generating unit that generates personal information from the personal information data set collected by the information collecting unit, and the information generating unit. Information recording means for recording personal information, information exchanging means for exchanging personal information generated by the information generating means with other users, and information presenting means for presenting personal information to the users are provided.

  The effect of the present invention is that not only updating of data by automatic collection of users and data but also updating of data already held by exchanging information with other users to multi-faceted human relations. Therefore, it is possible to provide a high-quality human network database.

FIG. 11 is a block diagram of a system disclosed in Patent Document 1 that assists in collecting high-quality knowledge. It is a block diagram of the system disclosed by patent document 2 and performing the introduction by a referral letter according to the personal network route which it holds. 1 is a block diagram of a personal connection database system according to a first embodiment of the present invention. FIG. It is a figure which shows the example of a person information data set. It is a flowchart for demonstrating the whole operation | movement of the personal network database system shown in FIG. It is a block diagram which shows the detail of the 1st example of an information collection means and an information recording means used for the personal network database system shown by FIG. It is a block diagram which shows the detail of an example of the information exchange means used for the personal network database system shown by FIG. It is a block diagram of a human network database system according to a second embodiment of the present invention. It is a block diagram which shows the detail of the 2nd example of the information production | generation means and information recording means used for the personal network database system shown by FIG. It is a block diagram of a human network database system according to a third embodiment of the present invention. It is a block diagram which shows the detail of the 3rd example of an information generation means and an information recording means used for the personal network database system shown by FIG. It is a figure which shows the update algorithm used in the personal network database system of this invention. It is a figure which shows the 1st example when the information of the person which a user has is obtained by data exchange. It is a figure which shows the 1st example of the quality vector obtained by data exchange of the information of the person which a user has. It is a figure which shows the 1st example of the update function F of a quality vector. It is a figure which shows the update example of the data set obtained by data exchange of the information of the person which a user has. It is a figure which shows the 2nd example when the information of the person which a user has is obtained by data exchange. It is a figure which shows the 2nd example of the quality vector obtained by the data exchange of the information of the person which the user has. It is a figure which shows the 2nd example of the update function F of a quality vector. It is a figure which shows the example when the data of the person who a user does not have are obtained by data exchange. It is a figure which shows the example of the quality vector obtained by the data exchange of the information of the person which a user does not have. It is a figure which shows the 3rd example of the update function F of a quality vector. It is a figure which shows the update example of the data set obtained by data exchange of the information of the person which a user does not have. It is a figure which shows the example of a higher-order personality data set in case there are multiple elements of a quality vector. It is a figure which shows the example of the quality vector which has a some element. It is a figure which shows the 4th different example of a update using the function F. FIG. It is a figure which shows the 5th different example of a update using the function F. FIG. It is a figure which shows the update example of a data set in case there are multiple elements of a quality vector. It is a figure which shows the example of the data set before an update in case a quality vector has a some element, and the data set after an update.

  Next, embodiments for carrying out the invention will be described in detail with reference to the drawings.

  Referring to FIG. 3, the personal network database system according to the first embodiment of the present invention includes an information collecting unit 1, an information generating unit 2, an information exchanging unit 3, an information recording unit 4, and an information presenting unit. It consists of five. The information collecting means 1 includes a keyboard and a mouse and a device or program for automatically collecting information (person information data set). The information generation means 2 generates human network information from the collected information (person information data set). The information exchange means 3 exchanges the generated personal network information with other users. The information recording unit 4 stores the information generated / updated by the information generating unit 2. The information presenting means 4 presents high quality personal information to the user.

  Each of these means and devices operates as follows.

  Upon receiving a new person information registration request from the user, the information collection means 1 of the personal network database system creates a new person information data set in the database.

  FIG. 4 shows an example of a person information data set.

  As shown in FIG. 4, the created person information data set automatically acquires a daily information exchange between a user and a registered person and a personal information part (user input part) input by the user. It consists of a part to be updated (automatic input part).

  Next, the information generation means 2 of the personal network database system creates a user personal information information set including link reliability information from the personal information data set. The user can exchange the created personal information data set and personal network information data set with other users by the information exchanging means 3. Data exchange may be transmitted using a portable terminal. As the transmission method, a mobile phone mail may be used, or infrared communication or wireless LAN may be used.

  The information to be exchanged at this time can be determined in content and type by the exchange between the users to be exchanged.

  Next, the information generation means 2 of the personal network database system updates the data of the personal network information data set possessed by the user by using the information included in the data set of the other user obtained by the exchange. The data update method at this time may follow a specific algorithm, or may be determined by the user himself.

  Next, with reference to the flowchart of FIG. 5, the overall operation of the personal network database system according to the first embodiment of the present invention will be described in detail.

  Here, a case where the user receives new person information input by the information collecting means 1 shown in FIG. 3 will be described with reference to the flowchart of FIG.

  In the personal network database system according to the first embodiment of the present invention, when new person information is input by the information collecting means 1 shown in FIG. 3 (step S101), the information generating means 2 shown in FIG. The information is transmitted to the information recording means 4 via this.

  FIG. 6 is a block diagram showing details of the information collecting means 1 and the information recording means 4 shown in FIG. The information collection unit 1 includes a user input unit 11 and an automatic collection unit 12. The information recording unit 4 includes a person information storage device 41 and a higher-order personal information storage device 42.

  The new person information (person information data set) transmitted to the information generating means 2 shown in FIG. 3 is stored in the person information storage device 41 shown in FIG. 6 (step S102). The person information data set stored in the person information storage device 41 shown in FIG. 6 is updated as needed depending on the presence / absence of exchange between the user and the person (step S103) and the frequency. The personal information data set stored in the personal information storage device 41 shown in FIG. 6 is processed by the information generating means 2 into higher-order personality data such as intimacy, reliability, and vitality according to a specific algorithm or the user's intention. And stored in the higher-order human network information storage device 42.

  In the first embodiment, the higher-order personality data includes information on familiarity, reliability, and vitality, but includes at least one information on familiarity, reliability, and vitality. Also good.

  The user can exchange information he / she has with other users by means of the information exchange means 3 shown in FIG. The type of information to be exchanged can be set for each user who exchanges data.

  FIG. 7 is a block diagram showing details of the information exchanging means 3. The information exchange unit 3 includes a data exchange unit 31 and an information update unit 32. The data exchange unit 31 exchanges data with other users (step S104). The information update means 32 updates the information stored in the personal information storage device 41 and the higher-order human network information storage device 42 using the data obtained by the exchange.

  It is assumed that the data acquired by the exchange is high-order human connection data (YES in step S105). In this case, based on the data, the high-order human network data in the high-order human information storage device 42 shown in FIG. 6 is updated (step S106). It is assumed that the data acquired by the exchange is low-order data (person information data set) (No in step S105). In this case, based on the data, the data (person information data set) in the person information storage device 41 shown in FIG. 6 is updated (step S107).

  Further, when the user wants to refer to his / her personal network information, it can be presented by the information presenting means 5 shown in FIG.

  Such a human network database system updates the accumulated data (personal information data set, high-order human network data) by user input, automatic collection, or exchange of human network information with other users, and provides high-quality human network data. Works to present.

  By adopting such a configuration and presenting high-quality network information to the user, it is possible to secure information, cooperation, and human resources desired by the user.

  As described above, the human network database system according to the present embodiment relates not only to the update of data by automatic collection of users and data but also to data already held by exchanging information with other users. Since updating and multi-faceted evaluation of human relation links, it is possible to provide a high-quality personality database system.

  The reason for this is that the latest information can be obtained by updating the personal network database with the data that the user has entered independently in the individual user and the data (personal information data set) related to human relationships that are automatically acquired in daily life. In addition, by exchanging personal information including the quality of human-related links held by each user among a plurality of users, the information obtained by exchanging information with other users and the user originally hold This is because it is possible to provide a high-quality personality database system to the user by updating the personality database according to the information exchanged from the existing information.

  The personal network database system according to the first embodiment of the present invention can be realized as a human network information presentation method. Moreover, the personal network database system according to the first embodiment of the present invention may be executed by a computer using a personal network information presentation program.

  Next, a second embodiment of the present invention will be described in detail with reference to the drawings.

  Referring to FIG. 8, the human network database system according to the second embodiment of the present invention is different from the one shown in FIG. 3 in the configuration of the information generating means and the information recording means. It operates with the same configuration of the human network-based system shown in FIG. Accordingly, the reference number 2A is assigned to the personal network information generating means, and the reference sign 4A is assigned to the information recording means. Components having the same functions as those shown in FIG. 3 are denoted by the same reference numerals, and for the sake of simplification of description, only differences will be described below.

  FIG. 9 is a block diagram showing details of the information generating means 2A and the information recording means 4A. The information generation unit 2A includes a first higher-order data generation unit 21 and a second higher-order data generation unit 22. The information recording means 4A includes a person information storage device 41, a first higher-order human blood data storage device 42-1 and a second higher-order human blood data storage device 42-2.

  In the second embodiment of the present invention, when new person information is input by the information collecting means 1 shown in FIG. 8, the information is transmitted to the information generating means 2A shown in FIG.

  The new person information (person information data set) transmitted to the information generation apparatus 2A shown in FIG. 8 is stored in the person information storage apparatus 41 shown in FIG. The person information data set stored in the person information storage device 41 shown in FIG. 9 is updated as needed depending on the presence / absence and frequency of the exchange between the user and the person. The personal information data set stored in the personal information storage device 41 shown in FIG. 9 is obtained by the first higher-order data generation means 21 according to a specific algorithm or user's intention, such as subjectivity, consistency, freshness, etc. The first higher-order human blood data is processed and stored in the first higher-order human blood data storage device 42-1.

  In the present embodiment, the first higher-order human network data is composed of information on the target, consistency, and freshness, but may be composed of at least one information on the target, consistency, and freshness. .

  Furthermore, the first higher-order human blood data stored in the first higher-order human blood data storage device 42-1 shown in FIG. Depending on the intention, higher-order data (second higher-order human connection data) such as familiarity, reliability, and vitality is processed and stored in the second higher-order human data storage device 42-2.

  In the present embodiment, the second higher-order personal connection data includes information on familiarity, reliability, and vitality, but may include at least one information on familiarity, reliability, and vitality. .

  The user can exchange information he / she has with other users by the information exchange means 3 shown in FIG. The type of information to be exchanged can be set for each user who exchanges data.

  It is assumed that the data acquired by the exchange is the first higher-order human connection data. In this case, based on the data, the first higher-order human blood data in the first higher-order human blood data storage device 42-1 shown in FIG. 9 is updated. It is assumed that the data acquired by the exchange is the second higher-order human connection data. In this case, based on the data, the second higher-order human blood data in the second higher-order human blood data storage device 42-2 shown in FIG. 9 is updated. It is assumed that the data acquired by the exchange is low-order data (person information data set). In this case, the data (person information data set) in the person information storage device 41 shown in FIG. 9 is updated based on the data.

  Further, when the user wants to refer to his / her personal network information, it can be presented by the information presenting means 5 shown in FIG.

  Such a human network database system allows users to input, automatically collect, or collect updates of accumulated data (personal information data set, first higher-order human network data, second higher-order human network data). It operates by exchanging personal information and operates to present high quality personal data.

  By adopting such a configuration and presenting high-quality network information to the user, it is possible to secure information, cooperation, and human resources desired by the user.

  As described above, the human network database system according to the present embodiment relates not only to the update of data by automatic collection of users and data but also to data already held by exchanging information with other users. Since updating and multi-faceted evaluation of human relation links, it is possible to provide a high-quality personality database system.

  The reason for this is that the latest information can be obtained by updating the personal network database with the data that the user has entered independently in the individual user and the data (personal information data set) related to human relationships that are automatically acquired in daily life. In addition, by exchanging personal information including the quality of human-related links held by each user among a plurality of users, the information obtained by exchanging information with other users and the user originally hold This is because it is possible to provide a high-quality personality database system to the user by updating the personality database according to the information exchanged from the existing information.

  The personal network database system according to the second embodiment of the present invention can be realized as a human network information presentation method. Moreover, the personal network database system according to the second embodiment of the present invention may be executed by a computer using a personal network information presentation program.

  Next, a third embodiment of the present invention will be described in detail with reference to the drawings.

  Referring to FIG. 10, the human network database system according to the third embodiment of the present invention is different from the one shown in FIG. 3 in the configuration of the information generating means and the information recording means. 3 has the same configuration as that of the human network database system shown in FIG. Accordingly, reference numerals 2B are assigned to the information generating means and 4B are assigned to the information recording means. Components having the same functions as those shown in FIG. 3 are denoted by the same reference numerals, and for the sake of simplification of description, only differences will be described below.

  FIG. 11 is a block diagram showing details of the information generating means 2B and the information recording means 4B. The information generation unit 2B includes a first higher-order data generation unit 21, a second higher-order data generation unit 22, and a third higher-order data generation unit 23. The information recording means 4B includes a person information storage device 41, a first higher-order human blood data storage device 42-1, and a second higher-order human blood data storage device 42-2.

  In the third embodiment of the present invention, when new person information (person information data set) is input by the information collecting means 1 shown in FIG. 10, the information is transmitted to the information generating means 2B shown in FIG. Is done.

  The new person information (person information data set) transmitted to the information generating apparatus 2B shown in FIG. 10 is accumulated in the person information accumulating apparatus 41 shown in FIG. The person information data set stored in the person information storage device 41 shown in FIG. 11 is updated as needed depending on the presence / absence and frequency of exchange between the user and the person. The personal information data set stored in the personal information storage device 41 shown in FIG. 11 is obtained by the first higher-order data generation means 21 according to a specific algorithm or the user's intention, such as subjectivity, consistency, freshness, etc. The first higher-order human blood data is processed and stored in the first higher-order human blood data storage device 42-1.

  In the present embodiment, the first higher-order human network data is composed of information on the target, consistency, and freshness, but may be composed of at least one information on the target, consistency, and freshness. .

  Furthermore, the first higher-order human blood accumulation data stored in the first higher-order human blood data storage device 42-1 shown in FIG. Is processed into higher-order data (second higher-order personality data) such as intimacy, reliability, and vitality, and is stored in the second higher-order human data storage device 42-2.

  In the present embodiment, the second higher-order personal connection data includes information on familiarity, reliability, and vitality, but may include at least one information on familiarity, reliability, and vitality. .

  The user can exchange information he / she has with other users by the information exchange means 3 shown in FIG. The type of information to be exchanged can be set for each user who exchanges data.

  It is assumed that the data acquired by the exchange is the first higher-order human connection data. In this case, on the basis of the data, the first higher-order human connection data in the first higher-order human data storage device 42-1 shown in FIG. 11 is updated. It is assumed that the data acquired by the exchange is the second higher-order human connection data. In this case, based on the data, the second higher-order human blood data in the second higher-order human blood data storage device 42-2 shown in FIG. 11 is updated. It is assumed that the data acquired by the exchange is low-order data (person information data set). In this case, the data (person information data set) in the person information storage device 41 shown in FIG. 11 is updated based on the data.

  Further, when the user wants to refer to his / her personal network information, only the necessary data is filtered by the third higher-order data generation means 23 shown in FIG. 11 or converted for visualization. It is possible to process the data into third higher-order personality data and present it by the information presenting means 5 shown in FIG.

  Such a human network database system allows users to input, automatically collect, or collect updates of accumulated data (personal information data set, first higher-order human network data, second higher-order human network data). It operates by exchanging personal information and operates to present high quality personal data.

  By adopting such a configuration and presenting high-quality network information to the user, it is possible to secure information, cooperation, and human resources desired by the user.

  As described above, the human network database system according to the present embodiment relates not only to the update of data by automatic collection of users and data but also to data already held by exchanging information with other users. Since updating and multi-faceted evaluation of human relation links, it is possible to provide a high-quality personality database system.

  The reason for this is that the latest information can be obtained by updating the personal network database with the data that the user has entered independently in the individual user and the data (personal information data set) related to human relationships that are automatically acquired in daily life. In addition, by exchanging personal information including the quality of human-related links held by each user among a plurality of users, the information obtained by exchanging information with other users and the user originally hold This is because it is possible to provide a high-quality personality database system to the user by updating the personality database according to the information exchanged from the existing information.

  The human network database system according to the third embodiment of the present invention can be realized as a human network information presentation method. Moreover, the personal network database system according to the third embodiment of the present invention may be executed by a computer using a personal network information presentation program.

  Next, the operation of the personal network database system including link quality according to the present invention will be described using a specific embodiment.

  First, FIG. 12 shows an update algorithm. The higher-order personality data set is composed of one or more elements of the quality vector Q regarding each person held by the user. This higher-order personality data set can be updated by substituting the data currently held, the data obtained by the exchange, and the evaluation for the exchanged user into the function F.

  Here, the function F may be different for each user, or one user may have a plurality of functions and generate different quality vectors depending on the situation. Moreover, even if it is not in the form of a function, it may be changed by referring to data obtained by the exchange by the user himself / herself.

  As a first example, a case where a user (ID: 1) acquires high-order human network data including one element of another user (ID: 3) and a person ID: 25 will be described as an example. .

  FIG. 13 shows an example of a high-order personality data set held by the user and another user's high-order personality data set obtained by the exchange. The high-order personality data set of the user himself / herself shown in FIG. 13A includes a high-order personality data set relating to another user (ID: 3) who exchanged information. Based on the higher-order personality data set of another user who exchanged this information, the higher-order personality data set of another person (ID: 25) included in the own higher-order personality data set is updated.

  FIG. 14 shows an example of the quality vector. Here, for the sake of explanation, the minimum value of activity is Amin (for example, 0) and the maximum value is Amax (for example, 10), but this is not restrictive.

  It is assumed that the user ID: i receives information about the link between the person ID: j and the person ID: k from the user ID: m. In this case, the update algorithm can be written as shown in FIG. FIG. 15 shows a specific example of F.

  Here, a method is adopted in which a constant evaluation is added when the evaluation of ID: 3 viewed from ID: 1 is high and the activity is greater than or equal to the median with respect to ID: 25 held by ID: 3.

  FIG. 16 shows an example in which the higher-order human blood data set is updated according to the function F shown in FIG. Here, the activity of the person with ID: 25 is increased by the function F shown in FIG.

  FIG. 17 shows an example of a higher-order personality data set held by the user and another user's higher-order personality data set obtained by the exchange, compared with the evaluation of the person held by the user. An example in the case where the evaluation regarding the same person obtained by is low is shown.

  The user's own higher-order personality data set shown in FIG. 17A includes a higher-order personality data set relating to another user (ID: 3) who exchanged information. Based on the higher-order personality data set of another user who has exchanged this information, the higher-order personality data set of another person (ID: 26) included in the own higher-order personality data set is updated.

  FIG. 18 shows an example of the quality vector. Here, for the sake of explanation, the minimum value of activity is Amin (for example, 0) and the maximum value is Amax (for example, 10), but this is not restrictive.

  It is assumed that the user ID: i receives information about the link between the person ID: j and the person ID: k from the user ID: m. In this case, the update algorithm can be written as shown in FIG. 12, and a specific example of F is shown in FIG.

  Here, when the evaluation of ID3 viewed from ID: 1 is high and the activity regarding ID: 26 held by ID: 3 is equal to or lower than the median value, a method in which a constant evaluation is subtracted is adopted.

  At this time, the activity of the person with ID: 26 is reduced by the function F shown in FIG.

  As a second example, a case where a user (ID: 1) acquires high-order data including one element of a person ID: 26 that the user (ID: 1) does not hold by exchanging with another user (ID: 3) is taken as an example Will be described.

  FIG. 20 shows an example of a high-order personality data set held by the user and another user's high-order personality data set obtained by the exchange. The high-order personality data set of the user himself / herself shown in FIG. 20A includes a high-order personality data set relating to another user (ID: 3) who exchanged information. Based on the higher-order personality data set of another user who exchanges this information, a higher-order personality data set of another person (ID: 26) not included in the own higher-order personality data set is generated.

  FIG. 21 shows an example of the quality vector. Here, for the sake of explanation, the minimum value of activity is Amin (for example, 0) and the maximum value is Amax (for example, 10), but this is not restrictive.

  It is assumed that the user ID: i receives information about the link between the person ID: j and the person ID: k from the user ID: m. In this case, the update algorithm can be written as shown in FIG. FIG. 22 shows a specific example of F.

  Here, a method is employed in which the activity relating to ID: 26 viewed from ID: 1 is calculated according to the evaluation of ID: 3 viewed from ID: 1.

  FIG. 23 shows an example in which the higher-order human blood data set is updated according to the function F shown in FIG. At this time, the activity value of ID: 26 is calculated according to the function F shown in FIG.

  As a third embodiment, a case where a user (ID: 1) is obtained by exchanging link information regarding a person ID: 25 and a person ID: 26 with another user (ID: 3) will be described as an example. To do.

  FIG. 24 shows an example of a high-order personality data set held by the user and another user's high-order personality data set obtained by the exchange. The higher-order personality data set of the user himself / herself shown in FIG. 24A also includes higher-order personality data regarding another user (ID: 3) who exchanged information. Based on the higher-order personality data of other users (ID: 3) who exchanged this information, the higher-order personality data set of other persons (ID: 25 and ID: 26) included in its own higher-order personality data set Update. The higher-order personality data set includes a group of quality vectors Q related to each person held by the user. Assume that numerical data included in Q includes reliability (R), intimacy (C), and activity (A). FIG. 25 shows an example of the quality vector.

  Here, for the sake of explanation, the minimum value of reliability is Rmin (for example, 0), the maximum value of reliability is Rmax (for example, 10), the minimum value of intimacy is Cmin (for example, 0), and the maximum value is Cmax (for example, 10). The minimum value of activity is Amin (for example, 0) and the maximum value is Amax (for example, 10), but this is not restrictive.

  It is assumed that the user ID: i receives information about the link between the person ID: j and the person ID: k from the user ID: m. In this case, the update algorithm can be written as shown in FIG.

  26 and 27 show specific examples of F. Here, when the evaluation with respect to ID: 3 which performed data exchange is high, the form of the function is determined by whether the evaluation to ID: 25 and ID: 26 held by ID: 3 is greater than or less than the median value of each value. A different one was adopted.

  FIG. 28 shows an example of an updated higher-order personality data set according to the function F shown in FIGS. Here, with the function F shown in FIGS. 26 and 27, the reliability and activity of the person with ID: 25 are increased, and the reliability and activity of the person with ID: 26 are decreased.

  FIG. 29 shows an example of how the pre-update data set and the post-update data set change when the quality vector has a plurality of elements.

  Here, as an example, an example of a method of automatically updating a data set from acquired data is given. However, only the algorithm shown here can be used, and other methods may be used, or the user may manually update the data set based on the exchanged data. Moreover, regarding the update of the data set, the data may be updated depending on not only the reliability and closeness of the exchanged parties but also the relationship with each person. Also, it is not necessary to use all the obtained data for updating, and it is not necessary to update depending on the type of data.

DESCRIPTION OF SYMBOLS 1 Information collection means 11 User input means 12 Automatic collection means 2, 2A, 2B Information generation means 21 First higher order data generation means 22 Second higher order data generation means 23 Third higher order data generation means 3 Information exchange Means 31 Data exchange means 32 Information update means 4, 4A, 4B Information recording means 41 Person information storage device 42 Higher-order human network information storage device 42-1 First higher-order human blood data storage device 42-2 Second higher-order human network Data storage device 5 Information presentation means

Claims (42)

An information collecting means for collecting a person information data set;
Information generating means for generating network information from the person information data set collected by the information collecting means;
Information recording means for recording the personal network information generated by the information generating means;
Information exchanging means for exchanging human network information generated by the information generating means with other users;
Information presenting means for presenting human network information to the user;
A network database system including   The personality database system according to claim 1, wherein the personal information data set includes a user input portion input by a user and an automatic input portion that is automatically acquired and updated. The information recording means includes
A person information storage device for storing the person information data set collected by the information collection means while updating the person information as needed;
The information generating means
High-order data generation means for processing the personal information data set stored in the personal information storage device into high-order personality data and generating the high-order personality data;
The information recording means includes
A high-order human information storage device for accumulating the high-order human data generated by the high-order data generating means;
The human network database system according to claim 1 or 2.   The personal network database system according to claim 3, wherein the higher-order personal network data includes at least one information of familiarity, reliability, and vitality. The information exchange means
Data exchange means for exchanging data with other users;
Information updating means for updating information stored in the person information storage device and the higher-order personal information storage device using data obtained by the data exchange means;
The human network database system according to claim 3 or 4, comprising: The information recording means includes
A person information storage device for storing the person information data set collected by the information collection means while updating the person information as needed;
The information generating means
Processing the person information data set stored in the person information storage device into first higher-order personality data, and includes first higher-order data generation means for generating the first higher-order personality data,
The information recording means includes
A first higher-order human blood data storage device for storing the first higher-order human blood data generated by the first higher-order data generating means;
The information generating means
The second higher-order human blood data is generated by processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data. Including higher order data generation means,
The information recording means includes
A second higher-order human blood data storage device for storing the second higher-order human blood data generated by the second higher-order data generating means;
The human network database system according to claim 1 or 2, comprising:   The network database system according to claim 6, wherein the first higher-order human network data includes at least one information of subjectivity, consistency, and freshness.   The personal network database system according to claim 6 or 7, wherein the second higher-order personal network data includes at least one information of familiarity, reliability, and vitality. The information exchange means
Data exchange means for exchanging data with other users;
Using the data obtained by the data exchange means, the information stored in the person information storage device, the first higher-order human blood data storage device, and the second higher-order human blood data storage device is updated. Information updating means;
The human network database system according to any one of claims 6 to 8. The information recording means includes
A person information storage device for storing the person information data set collected by the information collection means while updating the person information as needed;
The information generating means
Processing the person information data set stored in the person information storage device into first higher-order personality data, and includes first higher-order data generation means for generating the first higher-order personality data,
The information recording means includes
A first higher-order human blood data storage device for storing the first higher-order human blood data generated by the first higher-order data generating means;
The information generating means
The second higher-order human blood data is generated by processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data. Including higher order data generation means,
The information recording means includes
A second higher-order human blood data storage device for storing the second higher-order human blood data generated by the second higher-order data generating means;
The information generating means
The second higher-order human blood data stored in the second higher-order human blood data storage device is processed into third higher-order human blood data, and the third higher-order human blood data is converted into the human blood information providing means. Including a third higher-order data generation means to be presented by
The human network database system according to claim 1 or 2.   The human network database system according to claim 10, wherein the first higher-order human network data includes at least one information of subjectivity, consistency, and freshness.   The personal network database system according to claim 10 or 11, wherein the second higher-order personal network data includes information on familiarity, reliability, and vitality.   The third higher-order data generation means processes the second higher-order personality data into the third higher-order personality data by filtering only necessary data or converting it for visualization. Item 13. The human network database system according to any one of Items 10 to 12. The information exchange means
Data exchange means for exchanging data with other users;
Using the data obtained by the data exchange means, the information stored in the person information storage device, the first higher-order human blood data storage device, and the second higher-order human blood data storage device is updated. Information updating means;
14. The human network database system according to any one of claims 10 to 13. Collecting a personal information dataset;
Generating network information from the collected person information data set;
Recording the generated personal network information in an information recording means;
Exchanging the generated network information with other users;
Presenting human network information to the user;
A method for presenting personal information including   The personal information presentation method according to claim 15, wherein the personal information data set includes a user input portion input by a user and an automatic input portion that is automatically acquired and updated. The network information generation step includes:
Storing the collected personal information data set in a personal information storage device while updating it as needed;
Processing the personal information data set stored in the personal information storage device into higher-order personality data to generate the higher-order personality data;
Storing the generated higher-order human vein data in a higher-order human network information storage device;
The method for presenting human network information according to claim 15 or 16.   The human network information presentation method according to claim 17, wherein the higher-order personal network data includes at least one information of familiarity, reliability, and vitality. The information exchange step includes:
Exchanging data with other users;
Using the data obtained by the data exchange step, updating the information stored in the person information storage device and the higher-order personal information storage device;
The method for presenting human network information according to claim 17 or 18, comprising: The network information generation step includes:
Storing the collected personal information data set in a personal information storage device while updating it as needed;
Processing the person information data set stored in the person information storage device into first higher-order personality data to generate the first higher-order personality data;
Accumulating the generated first higher-order human vein data in a first higher-order human blood data storage device;
Processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data to generate the second higher-order human blood data;
Accumulating the generated second higher-order human vein data in a second higher-order human blood data storage device;
The method for presenting personal information according to claim 15 or 16.   21. The method according to claim 20, wherein the first higher-order human network data includes at least one information of objectivity, consistency, and freshness.   The method of presenting human network information according to claim 20 or 21, wherein the second higher-order human network data includes at least one information of familiarity, reliability, and vitality. The information exchange step includes:
Exchanging data with other users;
Using the data obtained in the data exchange step, the information stored in the person information storage device, the first higher-order human blood data storage device, and the second higher-order human blood data storage device is updated. Steps,
The method for presenting personal information according to any one of claims 20 to 22. The network information generation step includes:
Storing the collected personal information data set in a personal information storage device while updating it as needed;
Processing the person information data set stored in the person information storage device into first higher-order personality data to generate the first higher-order personality data;
Accumulating the generated first higher-order human vein data in a first higher-order human blood data storage device;
Processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data to generate the second higher-order human blood data;
Accumulating the generated second higher-order human vein data in a second higher-order human blood data storage device;
The second higher-order human blood data stored in the second higher-order human blood data storage device is processed into third high-order human blood data, and the third higher-order human blood data is presented as the human blood information. The steps to present in
The method for presenting personal information according to claim 15 or 16.   25. The method of presenting human network information according to claim 24, wherein the first higher-order human network data includes at least one information of subjectivity, consistency, and freshness.   26. The method according to claim 24 or 25, wherein the second higher-order personality data includes at least one information of familiarity, reliability, and vitality.   In the step of generating the third higher-order personality data, the second higher-order personality data is processed into the third higher-order personality data by filtering only necessary data or converting it for visualization. 27. A method for presenting personal information according to any one of claims 24 to 26. The information exchange step includes:
Exchanging data with other users;
Using the data obtained in the data exchange step, the information stored in the person information storage device, the first higher-order human blood data storage device, and the second higher-order human blood data storage device is updated. Steps,
28. The method for presenting human network information according to any one of claims 24 to 27. On the computer,
A procedure to collect a personal information dataset;
A procedure for generating network information from the collected personal information data set;
A procedure for recording the generated personal network information in an information recording means;
A procedure for exchanging the generated network information with other users;
A procedure for presenting human network information to the user;
A network information presentation program for running   30. The personal information presentation program according to claim 29, wherein the personal information data set includes a user input part input by a user and an automatic input part automatically acquired and updated. The network information generation procedure is performed on the computer.
A procedure for accumulating in the person information accumulating device while updating the collected person information data set as needed,
Processing the person information data set stored in the person information storage device into higher-order personality data to generate the higher-order personality data;
A procedure for storing the generated higher-order human vein data in a higher-order human network information storage device;
31. The personal information presentation program according to claim 29 or 30, wherein:   The personal network information presentation program according to claim 31, wherein the higher-order personal network data includes at least one information of familiarity, reliability, and vitality. The information exchange procedure is performed on the computer.
Procedures for exchanging data with other users;
Using the data obtained by the data exchange procedure, a procedure for updating information stored in the person information storage device and the higher-order personal information storage device;
33. The human network information presentation program according to claim 31 or 32, wherein the program is executed. The network information generation procedure is performed on the computer.
A procedure for accumulating in the person information accumulating device while updating the collected person information data set as needed,
Processing the person information data set stored in the person information storage device into first higher-order personality data to generate the first higher-order personality data;
A procedure for storing the generated first higher-order human vein data in a first higher-order human blood data storage device;
Processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data to generate the second higher-order human blood data;
A procedure for storing the generated second higher-order human vein data in a second higher-order human blood data storage device;
31. The personal information presentation program according to claim 29 or 30, wherein:   The personal network information presentation program according to claim 34, wherein the first higher-order personal network data includes at least one information of subjectivity, consistency, and freshness.   The personal network information presentation program according to claim 34 or 35, wherein the second higher-order personal network data includes information on familiarity, reliability, and vitality. The information exchange procedure is performed on the computer.
Procedures for exchanging data with other users;
Update the information stored in the person information storage device, the first higher-order human data storage device, and the second higher-order human data storage device using the data obtained by the data exchange procedure. Procedure and
37. The personal information presentation program according to any one of claims 34 to 36, wherein: The network information generation procedure is performed on the computer.
A procedure for accumulating in the person information accumulating device while updating the collected person information data set as needed,
Processing the person information data set stored in the person information storage device into first higher-order personality data to generate the first higher-order personality data;
A procedure for storing the generated first higher-order human vein data in a first higher-order human blood data storage device;
Processing the first higher-order human blood data accumulated in the first higher-order human blood data storage device into second high-order human blood data to generate the second higher-order human blood data;
A procedure for storing the generated second higher-order human vein data in a second higher-order human blood data storage device;
The second higher-order human blood data accumulated in the second higher-order human blood data storage device is processed into third higher-order human blood data, and the third higher-order human blood data is converted into the human blood information presentation procedure. The procedure to be presented in
31. The personal information presentation program according to claim 29 or 30, wherein:   39. The program for presenting human network information according to claim 38, wherein the first higher-order human network data includes at least one information of subjectivity, consistency, and freshness.   The personal network information presentation program according to claim 38 or 39, wherein the second higher-order personal network data includes at least one information of familiarity, reliability, and vitality.   In the third higher-order personality data generation procedure, the second higher-order personality data is processed into the third higher-order personality data by filtering only necessary data or converting it for visualization. 41. The personal information presentation program according to any one of claims 38 to 40. The information exchange procedure is performed on the computer.
Procedures for exchanging data with other users;
Update the information stored in the person information storage device, the first higher-order human data storage device, and the second higher-order human data storage device using the data obtained by the data exchange procedure. Procedure and
42. The personal information presentation program according to any one of claims 38 to 41, wherein:

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