Human Information Management System

Abstract

This invention provides a human information management system that can both increase the amount of human information available in the system and improve the reliability of information from various individuals. The human information management system includes: an input information recording unit that records human information input by a user via a user terminal; an information reliability evaluation unit that evaluates the reliability of the input information by information unit and derives a reliability index associated with the corresponding information unit; and a browsing information disclosure unit that discloses browsing information to the user based on the input information or integrated information, wherein the integrated information is generated by integrating multiple pieces of the input information.

Description

Technical Field

[0001] This invention relates to a human information management system. Background Technology

[0002] Previously, an information browsing system has been proposed that is configured to store family tree information, messages, and other personal information, as well as information on various other people, and to transmit this information to descendants and other relevant individuals. The following patent documents 1-5 are all systems that store information on various people, primarily the aforementioned personal information, and manage it in a manner that allows others to browse it.

[0003] In the aforementioned systems, information about people is received from users and processed for other users to view. However, in actual system operation, the scope of disclosure of personal information and the protection of personal information need to be considered, raising the question of how to manage the various types of personal information. To address these issues, Patent Documents 6 and 7 below stipulate that users set the objects to be disclosed and, based on this, set the scope of disclosure of personal information, and disclose information according to these settings.

[0004] Existing technical documents

[0005] Patent documents

[0006] Patent Document 1: Japanese Patent Application Publication No. 2002-015057

[0007] Patent Document 2: International Publication No. 2004 / 066174

[0008] Patent Document 3: Japanese Patent Application Publication No. 2015-090539

[0009] Patent Document 4: Japanese Patent Application Publication No. 2018-160005

[0010] Patent Document 5: Japanese Patent Application Publication No. 2022-183722

[0011] Patent Document 6: Japanese Patent Application Publication No. 2001-297159

[0012] Patent Document 7: Japanese Patent Application Publication No. 2023-109195 Summary of the Invention

[0013] However, in the aforementioned systems, in managing various types of personal information obtained from users, ensuring the rigor of the information or verifying the identity of the individuals is important for ensuring its reliability. However, if the reliability of personal information is to be improved, the amount of information that can be obtained and disclosed will decrease, which may lead to a loss of the attractiveness of the browsing system for various types of personal information. If the amount of personal information is to be ensured, the disclosure of erroneous information will increase, making it difficult to ensure the quality of personal information. As a result, there is a possibility that the entire system may lose its reliability.

[0014] Therefore, the present invention aims to solve the above problems. Its objective is to realize a human information management system that can both increase the amount of human information available in the system and improve the reliability of information from various types of people.

[0015] To address the aforementioned problems, the present invention relates to a human information management system comprising: an input information recording unit for recording human information input by a user as input information; an information reliability evaluation unit for evaluating the reliability of the input information by information unit and deriving a reliability index associated with the corresponding information unit; and a browsing information disclosure unit for disclosing browsing information to the user based on the input information or integrated information, wherein the integrated information is generated by integrating multiple pieces of the input information.

[0016] According to the present invention, the user-inputted personal information is recorded as input information by an input information recording unit, and the reliability of the input information is evaluated by an information reliability evaluation unit according to information units, and a reliability index is derived. This allows for the management of input information and integrated information based on the reliability index derived by information units, thus suppressing problems caused by erroneous information without hindering the widespread availability of the provided personal information. Here, personal information broadly includes: information related to the user themselves (personal information), other people (others' information), and various information regarding relationships between people (interpersonal relationship information).

[0017] In this invention, preferably, the information reliability evaluation unit sets the reliability index height based on the consistency between the corresponding information unit and other information units in the input information, and the degree of consistency between the corresponding information unit and existing information about the person. In this case, preferably, the information reliability evaluation unit lowers the reliability index of the part of the input information when it is inconsistent with existing information about the person, and raises the reliability index of the part when it is consistent with existing information about the person. Furthermore, preferably, the reliability index height is set based on whether the corresponding information unit has a third-party certified document. Examples of third-party certified documents include, for example, a certificate of all household registration matters (a copy of the household registration), a certificate of registration matters, and a DNA test certificate. Preferably, the information reliability evaluation unit raises the reliability index of the part of the input information when it is certified by the submitted third-party certified document.

[0018] In this invention, it is preferable that the browsing information disclosure unit forms the browsing disclosure information based on the input information or the integrated information, with the reliability index attached. Therefore, since the browsing disclosure information is formed with the reliability index attached, the information unit can be viewed while checking the reliability index, thus reducing the impact of erroneous information on the viewer.

[0019] In this invention, preferably, the browsing information disclosure unit selects or limits the input information or the integrated information according to the information unit based on the reliability index, thereby forming the browsing disclosure information. Accordingly, since the browsing disclosure information is formed by selecting or limiting the input information or the integrated information according to the information unit based on the reliability index, the overall reliability of the browsing disclosure information is improved, thus preventing a decrease in system reliability.

[0020] In this invention, it is preferable to further include an integrated information generation unit, which generates the integrated information from multiple input information sets. Preferably, when a portion of the input information is consistent with existing information about the person, and the remaining portion contains non-common information with no corresponding data parts, the integrated information is generated in a form that includes both the portion and the non-common information. Furthermore, it is preferable that in the integrated information, when a portion of the input information is inconsistent with existing information about the person, the portion coexists with the corresponding portion of the existing information about the person.

[0021] In this case, it is preferable that the integrated information is generated by selecting or limiting the input information according to the information unit based on the height of the reliability index. Accordingly, by selecting or limiting the input information of multiple users according to the information unit based on the height of the reliability index, integrated information is generated in a way that improves the overall reliability of the user-inputted information. This avoids both reliability degradation and the integration of a wide range of user information, thus achieving a balance between providing a broad range of user information and reducing erroneous information. Preferably, in the integrated information, when a part of the input information is inconsistent with existing user information, the reliability index of the part is compared with the reliability index of the corresponding part of the existing user information. When the difference in the height of the reliability indices is above a threshold, only the one with the higher reliability index is retained; when the difference is less than the threshold, the part and the corresponding part coexist.

[0022] Furthermore, it is preferable that the integrated information is generated in a state where the reliability indicators are attached to the information units. Accordingly, since the integrated information is generated in a state with the added reliability indicators, the information units can be understood while viewing the reliability indicators, thus reducing the impact of erroneous information in the integrated information.

[0023] In this invention, it is preferable that the information reliability evaluation unit specifies multiple information reliability levels covering varying degrees of reliability as the reliability index, and that one of the intermediate levels (excluding the highest and lowest levels) is set as the initial value of the information reliability level. For example, as described in the embodiments below, when the seven information reliability levels are set as A, B, C, D, E, F, and G, it is preferable to set any one of the intermediate levels B to F as the initial value, and particularly preferable to set a central level such as D as the initial value.

[0024] In this invention, it is preferable that the browsing information disclosure unit restricts the scope of disclosure of the input information based on the user's operation. Furthermore, the disclosure scope preferably includes the range of viewers as the object of disclosure, the range of information as the content to be disclosed, and the time range as the disclosure period. Further, when a portion of the input information from multiple users is identical, it is preferable to determine the disclosure scope of that portion by adjusting it according to the relationship set by each user's respective disclosure scope.

[0025] In this invention, it is preferable to further include a long-term data management unit, which is composed of multiple different storage media and has multiple recording units for recording the input information or the integrated information. The multiple recording units include at least a first recording unit that is more suitable for recording changes than other recording units, and a second recording unit that is more suitable for long-term storage than other recording units. The long-term data management unit records the information units with low reliability in the first recording unit and records the information units with high reliability in the second recording unit.

[0026] (Invention effect)

[0027] According to the present invention, a human information management system can be realized that can both increase the amount of human information available in the system and improve the reliability of information about various types of people. Attached Figure Description

[0028] Figure 1 This is a schematic configuration diagram illustrating an example of the overall configuration of an implementation of the human information management system according to the present invention.

[0029] Figure 2 This is a simplified flowchart illustrating an example of the processing steps of the information reliability evaluation unit in this embodiment.

[0030] Figure 3 This is a schematic flowchart illustrating an example of the processing steps of the integrated information generation unit in this embodiment.

[0031] Figure 4 This is a schematic flowchart illustrating an example of the processing steps of the disclosure range setting unit in this embodiment.

[0032] Figure 5 This is a schematic diagram illustrating an example of the selection structure of a registration input screen related to the input information recording unit and a browsing display screen related to the browsing information disclosure unit displayed in the user terminal of this embodiment.

[0033] Figure 6 This indicates that in this implementation method Figure 5 A simplified flowchart of the processing steps shown in each screen.

[0034] Figure 7 This is a simplified flowchart illustrating the details of an example of the processing steps performed on the browsing display screen described above in this embodiment.

[0035] Figure 8 This is a rough correspondence table showing examples of the relationship between information categories and reliability indicators in this implementation method.

[0036] Figure 9 This is a rough correspondence table showing examples of the relationship between information categories and disclosure scope information in this implementation.

[0037] Figure 10 This is a schematic diagram illustrating an example of a family tree.

[0038] Figure 11 This is a diagram illustrating another example of a family tree.

[0039] Figure 12 This is a schematic diagram illustrating an example of a social graph.

[0040] Figure 13 This is a diagram illustrating another example of a social graph.

[0041] (Symbol Explanation)

[0042] 1, 2, 3: User terminals; 1a, 2a, 3a: Input information; 1b, 2b, 3b: Input operations (for browsing public information); 1c, 2c, 3c: Output data; 1d, 2d, 3d: Input operations (for setting the scope of disclosure); 10: Human information management system; 11: WEB server; 12: AP server; 121: Input information recording unit; 122: Information reliability evaluation unit; 123: Integrated information generation unit; 124: Information disclosure unit for browsing; 125: Scope of disclosure setting unit; 13: DB server; 14: BU server; 15: Long-term data management department; A~G: Information reliability levels (reliability indicators) Detailed Implementation

[0043] Next, with reference to the accompanying drawings, embodiments of the human information management system involved in this invention will be described in detail. First, referring to... Figure 1 The overall structure of the implementation method of the human information management system of the present invention will be described.

[0044] Figure 1 This is a schematic diagram illustrating the overall structure of the human information management system 10. The system 10 includes: a WEB (World Wide Web) server 11, which connects to a network and exchanges input / output data with user terminals; an AP (Application Programming) server 12, which connects to the WEB server 11 and processes the aforementioned input / output data; and a DB (Database) server 13, which exchanges recorded data with the AP server 12 and performs data storage and management. Furthermore, the WEB server 11 and DB server 13 perform typical server operations, therefore detailed descriptions are omitted.

[0045] AP server 12 performs various data processing tasks according to various applications, such as data conversion, saving, updating, deletion, and setting. The AP server 12 includes an input information recording unit 121, an information reliability evaluation unit 122, an integrated information generation unit 123, a browsing information disclosure unit 124, and a disclosure scope setting unit 125.

[0046] The input information recording unit 121 receives input information 1a, 2a, and 3a, which consists of human information, from user terminals 1-3, and records it in the recording unit (memory) 131 via the DB server 13 as at least part of the input information group DB1, which is a collection of input information from each user. The human information in these input information 1a, 2a, and 3a includes: information about the user themselves (i.e., personal information), information related to others (i.e., other people's information), first interpersonal relationship information indicating the relationship between the user and others, and second interpersonal relationship information indicating the relationship between others. Furthermore, while three user terminals are shown in the example diagram, this is merely illustrative; the number of users is not particularly limited, and the number of terminals connected simultaneously is set by the system. In the following description, the scenario of any user terminal being connected at any given time will be assumed.

[0047] The information reliability evaluation unit 122 evaluates the reliability of the input information group DB1 or the input information 1a, 2a, and 3a obtained from the input information recording unit 121. This information reliability evaluation is performed by evaluating the reliability of the input information 1a, 2a, and 3a by information unit and deriving a reliability index. In this embodiment, multiple information reliability levels representing the degree of information reliability are defined as reliability indicators, and one of these information reliability levels is assigned according to information unit. These information reliability levels will be described later. The reliability index is assigned according to the information unit of the input information 1a, 2a, and 3a, and is recorded in the recording unit 131 by the DB server 13 as at least part of the reliability index group DB2. Furthermore, the reliability index is associated (established) with the corresponding information unit of the input information through a management number, etc. Additionally, this reliability index is preferably also associated (established) with the corresponding information unit of the integrated information described later. It should be noted that in the information reliability evaluation unit 122 of this embodiment, although the reliability index is derived according to the information unit of the input information, the processing of deriving the reliability index according to the information unit of the saved existing input information can be delayed, or the processing of deriving the reliability index according to the information unit of the integrated information described later can be performed.

[0048] The integrated information generation unit 123 generates an integrated information group DB3 based on the input information 1a, 2a, and 3a obtained from the input information group DB1 or the input information recording unit 121 and the reliability indicators obtained from the reliability indicator group DB2 or the information reliability evaluation unit 122. This integrated information group DB3 is then recorded in the recording unit 131 via the DB server 13. The integrated information group DB3 is formed by integrating the input information 1a, 2a, and 3a obtained from multiple users. The integrated information group DB3 is not individual information like the input information 1a, 2a, and 3a of each user, but rather information about a general person obtained by integrating input information from multiple users, preferably structured as separate from the user and shared by the system. This integrated information group DB3 is generated through an integration process that integrates the input information 1a, 2a, and 3a according to a unified rule. The integration process will be described later. The integrated information group DB3 is a collection of integrated information that is interconnected. Ideally, it would eventually become a unified and interconnected information group, but it usually exists in the form of multiple groups of integrated information that are not interconnected (the interconnectedness, i.e., the information links are broken).

[0049] The browsing information disclosure unit 124 generates browsing disclosure information based on the information of the person obtained from the aforementioned input information group DB1 or input information 1a, 2a, 3a, or the aforementioned integrated information group DB3 or each integrated information, the reliability index obtained from the aforementioned reliability index group DB2 or information reliability evaluation unit 122, and each disclosure scope information obtained from the disclosure scope information group DB5 or disclosure scope setting unit 125 (described later). This browsing disclosure information is then made available for browsing on user terminals 1-3 via the WEB server 11. The information disclosure operation of the browsing information disclosure unit 124 is performed based on input operations 1b, 2b, 3b performed by each user via user terminals 1-3. The browsing disclosure information disclosed corresponding to input operations 1b, 2b, 3b is sent to user terminals 1-3 via output data 1c, 2c, 3c. Here, the browsing disclosure information is recorded in the recording unit 131 via the DB server 13 as at least a part of the browsing disclosure information group DB4.

[0050] The disclosure scope setting unit 125 sets the disclosure scope for input information 1a, 2a, and 3a based on the input operations 1d, 2d, and 3d entered by each user through user terminals 1-3. This disclosure scope is set according to the information unit of the input information. Details regarding this disclosure scope will be described later, specifying the scope of viewers as the object of disclosure, the scope of information as the content to be disclosed, and the time range as the disclosure period, all set according to information units. The setting information related to these various disclosure scopes is recorded in the recording unit 131 via the DB server 13 as at least part of the disclosure scope information group DB5.

[0051] In this system 10, a BU (backup) server 14 can also be set up as needed. The BU server 14 backs up the various information recorded in the recording unit 131 between itself and the DB server 13. In the example shown, the BU server 14 preferably uses a primary recording medium (a type of memory) 141 and a secondary recording medium (another type of memory) 142 to record backup data. For example, the primary recording medium 141 uses a memory that is used for information accessed frequently and has a high processing speed, while the secondary recording medium 142 uses a memory that is used for information accessed infrequently and is not prone to degradation even after long-term storage. Examples of memory types include flash memory, optical discs, hard disks, and magnetic tapes. When the BU server 14 is configured as a long-term data management unit, the primary recording medium 141 is used as the first recording unit, and the secondary recording medium 142 is used as the second recording unit. For the data backed up to these first and second recording units respectively, by recording data with low reliability indicators per unit of information in the first recording unit and data with high reliability indicators in the second recording unit (described later), it can replace the long-term data management unit 15 (described later) in performing its functions.

[0052] Furthermore, in this system 10, a long-term data management unit 15 is preferably set up independently of or in place of the BU server 14. As described later, this system 10 is configured to allow future generations to browse information about people entered by the user, such as family trees, social charts, and other interpersonal relationship diagrams representing interpersonal relationships; messages, diaries, photos, resumes, and other information related to ancestors of the deceased. Therefore, it is necessary to preserve and manage the information of the aforementioned individuals for a long period of time. Thus, the long-term data management unit 15 is configured to reliably preserve the information recorded in the aforementioned recording unit 131 or the main recording medium 141 and the secondary recording medium 142 for a long period of time. In the illustrated example, there are a primary recording unit 151, a secondary recording unit 152, and a tertiary recording unit 153. The primary recording unit 151 (equivalent to the aforementioned first recording unit) records basically all the information, but information whose content is highly reliable and whose content is unlikely to change is also recorded in the secondary recording unit 152. Information recorded in the secondary recording unit 152, with higher reliability and a further reduced likelihood of content change, is recorded in the tertiary recording unit 153 (equivalent to the aforementioned second recording unit), which is difficult to rewrite but can be reliably preserved for a long period. This hierarchical recording method is not limited to three levels; it can also be a two-level configuration, and further, a four-level or higher configuration. In the higher-level recording unit (equivalent to the second recording unit) such as the tertiary recording unit 153, recording methods capable of withstanding long-term recording are used. Examples of such recording methods include methods such as engraving onto hard materials. For instance, by using MEMS (micro-machining technology) such as laser engraving to write information onto a hard material disk such as quartz, the information recording can be preserved semi-permanently, unlike magnetic recording media where the recorded content is lost over time.

[0053] In the long-term data management department 15, within the hierarchical recording department structure of primary recording department 151, secondary recording department 152, and tertiary recording department 153, recording units with high reliability indicators are prioritized for storage in higher-level recording departments (secondary recording departments). This is because higher information reliability reduces the need for rewriting. Furthermore, not only information units with high reliability indicators, but also information whose content is unlikely to change in the future, such as information from deceased users, is prioritized for storage in higher-level recording departments (secondary recording departments). In this way, highly reliable information that is unlikely to change in the future can be efficiently and reliably stored long-term, thus both reducing management costs and semi-permanently maintaining the system 10.

[0054] Next, refer to Figure 2An example of the specific processing steps of the aforementioned information reliability evaluation unit 122 will be explained. In this example, the user input information (1a, 2a, 3a) is first received, and the reliability of the information is evaluated. An example of the input information is shown below. Figure 8 .exist Figure 8 The input information shown is categorized by the "Specific Examples" in the right column of the "Classification" section under the "Information Category / Item" section, i.e., each information unit has a set reliability index. Within this specific example, as a reliability index, several (specifically seven) information reliability levels, A to G, are defined to indicate the degree of information reliability. Following the order A, B, C, D, E, F, G, the earlier the letter appears, the higher the reliability; the later the letter appears, the lower the reliability. The initial value (initial setting) of the information reliability level is preferably an intermediate level; in this embodiment, it is preferably a level further intermediate within the intermediate levels, i.e., the central level "D".

[0055] exist Figure 8 The input information includes personal information, such as personal confirmation information, additional personal information, and personal verification information. Personal confirmation information identifies the user and lists their name, date of birth, and address. Additional personal information can include phone number, email address, occupation, and employer. Further verification information can include household registration documents (such as a copy of the household registration certificate, or a registration certificate for legal entities), personal identification number (My Number), DNA test results, etc. Certificates issued by chambers of commerce, national or local public organizations are also included. As the primary interpersonal relationship information, examples include family relationships, kinship relationships, and acquaintance relationships. Among these, matters indicating kinship with the user are the most important. However, in addition to the relationship with the user, sometimes information related to that person is also included, such as date of birth, gender, occupation, and address. Sometimes, information related to others (e.g., female) is determined based on kinship relationships (e.g., "niece"). Additionally, it sometimes includes secondary interpersonal relationship information indicating the relationship between another person and yet another person. It should be noted that the input information is not limited to the information mentioned above; it can also include the individual's photo, email content, messages, diary entries, other images, and various other information. Of course, this other information can also include the aforementioned information relating to family members or acquaintances other than the individual.

[0056] exist Figure 8In this process, for information units provided by the aforementioned input information, an information reliability level of "D" is assigned; for information units not input, a "—" is assigned. Next, a basic reliability determination is performed on the input information. This basic reliability determination examines in detail the relationships between multiple information units (specific examples) within input information 1a, 2a, and 3a, and determines whether there are contradictions between related information units. If there are no contradictions between related information units, the information reliability level for these multiple information units is raised to a higher level, such as "C". If there are contradictions between related information units, the information reliability level for these multiple information units is lowered to a lower level, such as "E". For information units unrelated to other information units, the initial value "D" remains unchanged. The information reliability determination process, represented by this basic reliability determination, can be executed according to a specific determination procedure, or it can be executed through a trained machine learning model (especially a deep learning model) that has pre-learned the relationships between input information. Furthermore, in the example diagram, it is assumed that the information unit is a single piece of information such as name and address. However, the information unit can also be multiple pieces of information combined into one, or intentionally include multiple pieces of information. For example, "parents" can be a form that further includes kinship information within the information of multiple people, or "nephew" can be a form that combines gender and kinship. In short, the above reliability indicators are derived based on this information unit.

[0057] then, Figure 8 The example shown illustrates supplementary supporting documents, such as the individual's household registration certificate. After this supplement, the supporting documents are evaluated, and an additional reliability determination is performed based on the result. The evaluation of the supporting documents and the additional reliability determination can also be performed according to a specific evaluation procedure, or it can be performed using a trained machine learning model (especially a deep learning model) that has pre-learned the relationships between the input information. Figure 8 In this process, because household registration documents were submitted, the relationship with other information units changed. Therefore, information such as name, date of birth, parents, and children was assigned the highest reliability level, "A," while information such as the applicant's address, email address, photo, email content, and messages were assigned a second-level reliability level, "B." It is important to note that the submitted supporting documents can be included in the initial input information or submitted at another time, such as after a certain period of time. Furthermore, other supporting documents can be submitted simultaneously or separately. In either case, an additional reliability assessment is performed based on the aforementioned supporting documents after submission.

[0058] Then, the input information 1a, 2a, and 3a are compared with other recorded input information (such as information entered by the current user previously, and information entered by other users different from the current user), and the generated integrated information, etc. (hereinafter referred to as "existing information"), thereby confirming the consistency between the new information and the existing information through information consistency confirmation processing. At this point, after confirming whether the new information and the existing information are consistent overall, an integration reliability determination is performed based on the confirmation result. Here, if the existence of the current input information 1a, 2a, and 3a affects the information reliability of the existing information, the reliability index of the existing information is also changed. Figure 8 The diagram illustrates the change in the reliability index, or information reliability level, of each information unit after the information consistency verification process. For example, in the example, by comparing with existing information and confirming that the address matches the individual's address, the reliability level of the information regarding the individual's address is upgraded to "A," the reliability level of the information regarding the individual's siblings is upgraded to "B," and the reliability level of the information regarding the individual's photo is upgraded to "A." Conversely, when an information unit inconsistent with existing information is identified within a portion of the new information, the information reliability level of that information unit is reduced in both the new and existing information, as described above.

[0059] Regarding the above information reliability assessment process, whether it's basic reliability assessment, supplementary reliability assessment, or integrated reliability assessment, it's all executed at an appropriate time due to newly entered human information or additional submitted supporting documents, and it derives the reliability index for each information unit. Furthermore, Figure 2 The processing steps shown are merely an example; the above processes can be performed in a different order as needed.

[0060] Figure 3 This is a simplified flowchart illustrating an example of the steps taken by the integrated information generation unit 123 to integrate the new information (1a, 2a, 3a) with existing information as input information. The input information 1a, 2a, 3a is recorded in the recording unit 131 via the DB server, on a user-by-user basis, by the input information recording unit 121 of the AP server 12. On the other hand, sometimes there is repetitive information among the individual input information 1a, 2a, 3a. In this case, multiple input information containing repetitive information can be integrated to form a series of integrated information. From the perspective of first comparing the input information with existing information to confirm their consistency, the integration process is the same as the aforementioned information consistency confirmation process. This consistency confirmation can be performed using... Figure 2 The result obtained in the above information consistency verification process can, conversely, replace the result obtained in the other process. Figure 2 The above information consistency verification process in the step example shown uses the result of the information consistency verification process performed through this integration process.

[0061] For an example of the above integration process, please refer to... Figure 10 and Figure 11 Provide explanations for the family tree information. For example, Figure 10 The genealogy shown Figure 1 and Figure 11 The genealogy shown Figure 2 Each entry contains genealogical information centered on the user who entered the information, i.e., "the individual." Here, the dotted lines in the diagram represent omitted portions, and the dashed lines indicate that the person is currently deceased. Furthermore, in... Figure 3 The simplified flowchart shown assumes the case of integrating input information into a portion of existing information. Therefore, it is assumed that... Figure 10 The genealogy shown Figure 1 It is input information. Figure 11 The genealogy shown Figure 2 This is part of the existing information. At this point, the family tree was entered. Figure 1 The user's younger brother's spouse (wife), i.e., "sister-in-law" (represented by double frames), is part of the family genealogy. Figure 2 The person himself. Therefore, the family tree. Figure 1 With family genealogy Figure 2 It contains repetitive information (common information). On the other hand, in genealogy... Figure 1 and family genealogy Figure 2 Each branch of the family tree contains information (non-common information) not included in the other branch's family tree. For example, in the family tree... Figure 1 In the diagram, the genealogical portion is the area enclosed by the single-dotted line. Figure 10 It has two parts (a family tree). Figure 2 Information not found in the genealogy (non-common information). Additionally, in the genealogy... Figure 2 In the diagram, the genealogical portion is the area enclosed by the double-dotted lines. Figure 11 It has two parts (a family tree). Figure 1 Information that does not exist in the database (non-common information).

[0062] In this example, the common information outside the areas enclosed by the single-dash and double-dash lines ensures consistency. Therefore, while preserving this common information as is, Figure 10 The range enclosed by a single dotted line and Figure 11 The area enclosed by the double-dotted line is used as non-common information and connected to the aforementioned common information, thereby generating integrated information.

[0063] In contrast, in the case of a hypothetical family tree Figure 1 China lacks Figure 10In cases where the information for the "fourth nephew" is marked with an "X", the family tree is missing one nephew. Figure 1 The genealogy contains information about the "fourth child" marked with an "○". Figure 2 Inconsistency exists, therefore, within the aforementioned shared information, there are inconsistent information units. In this case, aside from the presence or absence of a "fourth nephew" and "fourth child," the shared information is linked with other non-shared information not present in the genealogy chart to generate integrated information, similar to the method described above. Regarding the genealogy... Figure 1 User 1's statement "There is no fourth nephew" and family tree Figure 2 The "existence of a fourth child" of User 2 (User 1's sister-in-law) can record information about both parties.

[0064] On the other hand, if the genealogy has already been addressed Figure 1 and family genealogy Figure 2 The reliability of the information was evaluated separately, and it can also be based on the genealogy. Figure 1 and family genealogy Figure 2 The method of generating integrated information is changed based on which party's information is more reliable. For example, due to genealogy... Figure 1 The information "there is no fourth nephew" lacks a reliability index. Therefore, the reliability level of the information regarding "other nephews" is set to X1, and the genealogy is... Figure 2 When the reliability level of the information "there is a fourth child" is set to X2, if X1 and X2 are close and the difference in level is small (e.g., less than 2), as mentioned before, regarding genealogy... Figure 1 User 1's statement "There is no fourth nephew" and family tree Figure 2 In the case of User 2 (User 1's sister-in-law), the information about "having a fourth child" is recorded (along with the information of both parties). On the other hand, if the party with the higher reliability index has a higher rating (e.g., "A" or "B"), or if the difference in the rating between the two parties' information is large (e.g., 3 or more), it is possible to reflect the information of the party with the higher reliability index in the integrated information.

[0065] Furthermore, in this example, due to the genealogy Figure 1 The "non-existence" in genealogy Figure 2 Corresponding to the "existence" in the genealogy, therefore, in the family tree Figure 1 The lieutenant general considered the reliability of those whose relationship to him was equivalent to that of "other nephews" who "did not exist" as a comparison point, but in genealogy... Figure 1 The existence of ("nephew") and genealogy Figure 2 When the "children" in the genealogy are individuals with different attributes (e.g., in a family tree) Figure 1The "nephew" in the family tree is male, but... Figure 2 When "children" refers to women (daughters, etc.), the reliability indicators of both parties can be directly used as comparison objects and processed in the same way as above. Furthermore, while the above examples addressed inconsistencies regarding the existence of a certain person, in cases where the personal relationship with a certain person differs (e.g., although they share the same name, their kinship is different, such as "nephew" and "cousin"), the reliability indicators regarding that personal relationship can be considered in the same way as above.

[0066] Furthermore, in the presence of multiple duplicate information entries, the aforementioned determination and reliability information correction are performed on each of these duplicate entries, and this process is repeated until no duplicate information remains. When all duplicate information has been processed, the input information is assessed to determine whether it can be integrated with existing information, such as whether there is any shared information or non-shared information. If shared and non-shared information exist and integration can be performed, the integrated information generation process is executed as described above. When the integration process ends, or when integration is not possible due to the absence of duplicate information, after correcting the public scope information of the input and existing information, the information is output and saved via DB server 13.

[0067] Figure 4 This is a simplified flowchart illustrating an example of the process steps for setting the public scope of input information performed by the aforementioned public scope setting unit 125. The process begins with the user inputting the public scope of information through input operations 1d, 2d, and 3d. The public scope setting unit 125 prompts user terminals 1-3 to perform the operation of setting the public scope of the input information via the web server 11. In contrast, by having user terminals 1-3 perform input operations 1d, 2d, and 3d, the AP server 12 sets the public scope via the web server 11. Here, the public scope includes three scopes: the viewer scope, the information scope, and the time scope. That is, the public scope information contained in the aforementioned public scope information group DB5 specifically defines the viewer scope conditions as the object of public disclosure, the information scope conditions as the information to be disclosed, and the time scope conditions as the period of public disclosure.

[0068] Figure 9 The genealogy is shown as the input information. Figure 1 Examples of how the scope of disclosure is defined for each information unit involved. Here, you can browse the categories and specific examples within the information / project. Figure 8The content shown is the same. In this example, the scope of disclosure is defined by six levels—X, Y, Z, V, W, and Q—according to the strictest to the most lenient disclosure conditions. More specifically, the scope of viewers has six levels: X1, Y1, Z1, V1, W1, and Q1; the scope of information has six levels: X2, Y2, Z2, V2, W2, and Q2; and the scope of time has six levels: X3, Y3, Z3, V3, W3, and Q3. Examples of setting each level are described in [the relevant section]. Figure 9 Below the border of the table shown. The initial setting of the public disclosure scope in this system 10 is Z, which means the viewer scope is Z1, the information scope is Z2, and the time scope is Z3. Furthermore, in setting the public disclosure scope, a certain level of reliability index can be used as a prerequisite for disclosure. That is, if the reliability index of each information unit is low, it will affect the reliability of this system 10 itself. Therefore, information units that do not meet the minimum reliability index are not included in the public information. In the example shown, information units that are not disclosed unless their reliability level is "A" or higher include the individual's date of birth, email address, and household registration documents; information units that are not disclosed unless their reliability level is "B" or higher include the individual's name, address, parents, and children. Here, when setting disclosure restrictions based on information reliability level, it is also possible for the system administrator to choose not to display the reliability index of each information unit in the public information for browsing. Furthermore, the above is only the initial setting of system 10, and it is preferable that it can be changed by the user individually. Figure 9 The example shown illustrates how users can set various parameters, including the scope of public access, the range of viewers, the scope of information, and the time frame. Additionally, the information reliability level can also be set by the user, but the initial settings can be fixed or changed only by the system administrator.

[0069] Then, return again. Figure 4 Continuing the explanation, when the disclosure scope of input information 1a, 2a, and 3a is set as described above, a disclosure scope consistency verification process is performed to confirm the consistency between the input information and the disclosure scope of existing information. This process verifies whether there is any overlap between the input information and existing information, and whether a disclosure scope has been set for each of the overlapping portions (i.e., whether there is a "duplicate setting"). As a result, when a duplicate setting exists, the information disclosure conditions are adjusted. For example, in a family tree... Figure 1 Since the user sets the public access scope, including the range of viewers, information range, and time range, the input information only includes genealogy data. Figure 1 The portion enclosed by the dotted line in the diagram (shared information) uses a public scope set by the user. On the other hand, in genealogy... Figure 2 The existing information contains settings regarding the scope of disclosure entered by the user's sister-in-law; therefore, information only included in the family genealogy is limited. Figure 2 The portion enclosed by the double-dotted line in the diagram (non-common information) uses the public scope set by the sister-in-law. However, for genealogy... Figure 1 With family genealogy Figure 2 If the user and his / her sister-in-law set the same scope of public access for the shared information, there is no problem. However, if the scope of public access is different, the different settings need to be adjusted.

[0070] As a method for adjusting the conditions for disclosing this information, one approach is to unify them by setting the more stringent disclosure conditions of the two. For example, in genealogy... Figure 1 In cases where the parent's viewer access level is set to "Z1" (only accessible to immediate family members), the family tree... Figure 2 When the viewer scope level for "parents-in-law" is set to "Y1" (only visible to relatives and acquaintances), the viewer scope for the corresponding parents is set to "Z1". Furthermore, as another example of this adjustment method, it's possible to consider setting duplicate information units to the median value across all levels of the public visibility scope, or to unify them to a higher priority value. Regardless of the method used, once the above adjustments are made, the existing public visibility scope information will be corrected.

[0071] Then, when the above adjustment process is not performed, the disclosure scope of the current input is directly added as the disclosure scope information corresponding to the new input information. When the above adjustment process is performed, the disclosure scope after the adjustment is performed is added as the disclosure scope information corresponding to the new input information. Then, this information is output and recorded in the recording unit 131 via the DB server 13. Alternatively, the disclosure scope information of each input information can be kept unchanged according to the disclosure conditions set by the user input, and the integrated information obtained through the integration process can be set as the common disclosure scope of each information unit after the adjustment as described above. In either case, the disclosure scope information of each information unit is saved in a state where it is associated with the corresponding information unit.

[0072] Next, refer to Figures 5 to 7 The following describes the user acceptance function of the system 10 via the web server 11 to the user terminals 1-3, and the user acceptance unit that cooperates with the aforementioned input information recording unit 121, information reliability evaluation unit 122, integrated information generation unit 123, browsing information disclosure unit 124, and disclosure scope setting unit 125. This user acceptance unit is composed of the aforementioned web server 11 and AP server 12.

[0073] Figure 5 This is an explanatory diagram showing the structure of the specific acceptance screen of the aforementioned user acceptance unit. Figure 6 This is a simplified flowchart illustrating an example of the user's processing steps. When a user terminal 1-3 connects to the web server 11 via the internet, a processing selection screen 110A is displayed. This processing selection screen 110A is configured so that the user can switch between a registration input screen 110B and a browsing display screen 110C. The registration input screen 110B is a display screen for the user to input their own or related information. In this registration input screen 110B, the user first enters their own specific information to confirm their identity. Then, they enter browsing information other than their own specific information. These are the aforementioned input information 1a, 2a, and 3a. Finally, they enter disclosure information indicating the scope of disclosure related to the entered information. Furthermore, if there is pre-registered account information, such as an ID or password, this ID or password can be entered instead of the user's own specific information.

[0074] On the other hand, the browsing display screen 110C is a display screen for users to browse information about people related to themselves. In this browsing display screen 110C, the user first enters their own specific information for verification. Then, the user searches for browsing information, and one or more items of publicly available browsing information are displayed based on the search results. When the user selects an item, the corresponding publicly available browsing information is displayed. Furthermore, when the input information is recorded after user confirmation, user ID, password, and other account information can be issued or registered as the user's specific information. Subsequently, user confirmation can also be performed using the issued or registered ID, password, and other account information. Here, the display of publicly available browsing information can also be done as described above, in the form of a reliability indicator associated with each information unit (an additional display of the reliability indicator). In this way, the viewer can know the reliability level of the information unit, thus preventing problems caused by erroneous information. Furthermore, it is preferable that this reliability indicator can be configured by the system administrator to be displayed as an adjunct to the information unit.

[0075] Figure 7This is a simplified flowchart illustrating an example of the steps involved in browsing publicly available information using the browsing information disclosure unit 124. As described above, input processing and confirmation processing of the user's specific information are first performed. If the reliability of the user's confirmation is insufficient, supporting documents are required, and the validity of the supporting documents is determined by evaluating the submitted documents. Then, the reliability of the user's confirmation is further determined, and this process can be repeated until the reliability is accepted. However, if the reliability is not accepted even after reaching the limit number of times, browsing cannot proceed. Furthermore, if the user browsing is someone who has previously entered personal information and has registered the aforementioned account information, it is also possible to perform the user's confirmation processing through that account information.

[0076] When the user's identity verification is successfully completed, a browsable list corresponding to that user's specific information is displayed. When a user selects an item from this list, corresponding public information for browsing is generated and displayed on the screen. Furthermore, if the user performs a search for browsable information, the corresponding browsable list is displayed, and public information for browsing is displayed in the same manner as described above. It should be noted that the additional display of reliability indicators... Figure 6 The above explanation is the same.

[0077] The information of the 10 people in this system described above also includes, as well as, Figure 12 and Figure 13 Social Figure 1 and social Figure 2 This is a relationship diagram that represents various social connections. The social diagram listed various social connections other than kinship (blood) relationships such as family tree diagrams as previously described, such as friends, colleagues in the workplace, superiors or subordinates, business relationships at work, school relationships such as classmates or seniors or juniors, and recorded specific information about each acquaintance and the relationship between the individual and the acquaintance.

[0078] exist Figure 12 Social Figure 1 In the example, user X is the user themselves, and the list displays user X's friends A and B, business associate C, and work subordinate D, etc. Additionally, in... Figure 13 Social Figure 2 In the above context, friend A refers to the user themselves. In the relationship with user A, the user is included within the aforementioned social network. Figure 1 The list includes friends X, relatives B, colleagues C, and friends D, based on shared information. Here, in social context... Figure 1 The relevant parties enclosed by a single dotted line in the middle are social media. Figure 2 The part of interpersonal relationships (non-shared information) not included in the social context Figure 2 The relevant parties enclosed by double dots and lines are social media. Figure 1 The part of social interaction not included (non-shared information). Such social interaction... Figure 1 and social Figure 2 The input information involved is related to the aforementioned family tree. Figure 1 ( Figure 10 ) and family tree Figure 2 ( Figure 11 These are recorded in the same way and integrated with them in the same way. Furthermore, although special diagrams are omitted, the integrated information is processed in the same way as described above for parts that are inconsistent. Here, as with family trees and social graphs, the relationship between common and non-common information between different types of information, which are both relationship diagrams, can also be integrated in the same way as between family trees or social graphs.

[0079] As explained above, the human information management system in this embodiment includes: an input information recording unit 121 that records human information input by the user as input information 1a, 2a, and 3a; an information reliability evaluation unit 122 that evaluates the reliability of input information 1a, 2a, and 3a by information unit and derives a reliability index associated with the corresponding information unit; and a browsing information disclosure unit 124 that discloses browsing information to the user based on input information 1a, 2a, and 3a or integrated information, which is generated by integrating multiple input information. Thus, the input information or integrated information can be managed according to the reliability index associated with each information unit of the input information, thereby suppressing problems caused by erroneous information without hindering the widespread availability of human information.

[0080] In this embodiment, the information reliability evaluation unit 122 sets the height of the reliability index based on the consistency between the corresponding information unit and other information units in the input information 1a, 2a, 3a, and the degree of consistency with existing human information, or the existence of a third-party certified document for the corresponding information unit. This enables the information reliability to be objectively evaluated on an information unit basis.

[0081] Here, the information reliability evaluation unit 122 lowers the reliability index of a portion of the input information 1a, 2a, 3a when the portion is inconsistent with existing human information, and raises the reliability index of the portion when the portion is consistent with existing human information. Thus, the reliability evaluation can be performed based on the consistency of input information from multiple users, thereby enabling an objective and simple evaluation of information reliability.

[0082] In addition, the information reliability evaluation unit 122 improves the reliability index of a portion of the input information 1a, 2a, 3a when the portion is verified by a third-party certification document, thereby enabling an objective and reliable evaluation of the reliability of the information.

[0083] Furthermore, the browsing information disclosure unit 124 preferably forms browsing disclosure information based on input information 1a, 2a, 3a or integrated information with added reliability indicators. Accordingly, since the browsing disclosure information is formed with added reliability indicators (i.e., reliability indicators are additionally displayed), the information unit can be viewed while viewing the reliability indicators, thus reducing the impact of erroneous information on the viewer.

[0084] Furthermore, the browsing information disclosure unit 124 preferably selects or limits the input information 1a, 2a, 3a or integrated information by information unit according to the reliability index, thereby forming browsing disclosure information. Accordingly, since the browsing disclosure information is formed by selecting or limiting the above-mentioned input information or the above-mentioned integrated information by information unit according to the reliability index, the overall reliability of the browsing disclosure information is improved, thus preventing the system reliability from decreasing.

[0085] Next, in this embodiment, there is also an integration information generation unit that generates integrated information from multiple input information 1a, 2a, 3a. By integrating input information from multiple users, it is possible to form a large-scale, high-value information source of people.

[0086] In particular, when a portion of input information 1a, 2a, and 3a is consistent with existing information about the person, and the remaining portion contains non-common information with no corresponding data parts, generating integrated information in a form that includes both the portion and the non-common information allows multiple input information sets to be associated to form a high-value information group. Furthermore, in the integrated information, when a portion of input information 1a, 2a, and 3a is inconsistent with existing information about the person, allowing that portion to coexist with the corresponding parts of existing information about the person enables management in a way that maintains both the breadth of information about the person and the reliability of the information.

[0087] Here, the integrated information is generated by selecting or limiting the input information 1a, 2a, and 3a according to the information unit based on the reliability index, thereby improving the reliability of the integrated information.

[0088] In this case, when a part of the input information 1a, 2a, 3a is inconsistent with the existing human information, the reliability index of the part is compared with the reliability index of the corresponding part of the existing human information. If the difference in the height of the reliability index is above a threshold, only the one with the higher reliability index is retained. If the difference is less than the threshold, the part and the corresponding part coexist. This can take into account both the breadth of human information and the assurance of reliability.

[0089] Next, the information reliability evaluation unit 122 specifies multiple information reliability levels A to G, covering both high and low reliability, as the aforementioned reliability indicators. It also sets one of the intermediate levels B to F (excluding the highest level A and the lowest level G) as the initial value of the information reliability level. Thus, appropriate reliability indicators can be set through subsequent basic reliability determination, additional reliability determination, and integrated reliability determination processes.

[0090] Next, the browsing information disclosure unit 124 restricts the disclosure scope of input information 1a, 2a, and 3a based on user operations, thereby enabling system operation that respects the user's disclosure wishes. Furthermore, the disclosure scope is preferably set for the range of viewers as the object of disclosure, the range of information as the content to be disclosed, and the time range as the disclosure period. Further, when a portion of input information from multiple users is identical, the disclosure scope of that portion is preferably determined by adjusting the relationship between the disclosure scope settings of each user. In this case, by adjusting the disclosure scope of that portion, sometimes the most stringent disclosure scope condition among the settings of multiple users is selected, and sometimes a disclosure scope condition at an intermediate level among the settings of multiple users is selected.

[0091] Next, a long-term data management unit 15 is provided. This long-term data management unit 15 is composed of multiple different storage media and has multiple recording units 151 to 153 for recording input information 1a, 2a, 3a or integrated information. The multiple recording units 151 to 153 include at least a first recording unit 151 which is more suitable for recording changes than other recording units, and a second recording unit 153 which is more suitable for long-term storage than other recording units. By recording information units with low reliability in the first recording unit 151 and recording information units with high reliability in the second recording unit 153, the long-term data management unit 15 can distribute the data according to the reliability level to the appropriate recording unit for processing, thereby improving management efficiency and easily achieving long-term reliable data storage.

[0092] Furthermore, the human information management system involved in this invention is not limited to the examples shown in the figures above, and various modifications can be made without departing from the spirit of this invention. For example, in the embodiments described above, a BU server 14 and a long-term data management unit 15 are separately provided from the DB server 13, but the long-term data management unit 15 can also be configured to be embedded in the DB server 13, and the specific configuration is not limited, as long as it ultimately performs the same function. Furthermore, the way in which reliability indicators are associated with information units of input information and integrated information can not only be configured as described above as including a structure of interrelated linked information, but also simply in a way in which the information unit and the reliability indicator are included in the same data structure.

[0093] Furthermore, the examples of diagrams and reliability indicators shown in the above embodiments are merely examples and can be appropriately modified according to the needs of users, managers, or other requirements. For example, reliability indicators can be expressed not only by text and symbols, but also by numerical values, markers, etc., as long as the result allows for the assessment of the degree of reliability; any form of indicator is acceptable. Additionally, there are no particular limitations on the scope of disclosure. For example, the time frame can be set according to various conditions, such as disclosure when a descendant reaches a specific age (e.g., 20 years old), disclosure when a descendant obtains a specific qualification (e.g., lawyer), or disclosure when a descendant meets specific conditions (e.g., illness).

Claims

1. A human information management system, characterized in that, have: The input information recording unit records the information entered by the user as input information; An information reliability evaluation unit evaluates the reliability of the input information by information unit and derives a reliability index associated with the corresponding information unit; and The browsing information disclosure unit discloses browsing information to the user based on the input information or integrated information, wherein the integrated information is generated by integrating multiple pieces of the input information.

2. The human information management system according to claim 1, characterized in that, The information reliability evaluation unit sets the height of the reliability index based on the consistency between the corresponding information unit and other information units in the input information, as well as the degree of consistency between the corresponding information unit and the existing information of the person.

3. The human information management system according to claim 2, characterized in that, The information reliability evaluation unit lowers the reliability index of the input information when a part of it is inconsistent with the existing information of the person, and raises the reliability index of the input information when it is consistent with the existing information of the person.

4. The human information management system according to claim 3, characterized in that, The information reliability evaluation unit improves the reliability index of a portion of the input information when the portion of the input information is verified by the submitted third-party certification documents.

5. The human information management system according to any one of claims 1 to 4, characterized in that, The browsing information disclosure unit forms the browsing disclosure information based on the input information or the integrated information, with the reliability index added.

6. The human information management system according to any one of claims 1 to 4, characterized in that, The browsing information disclosure unit selects or limits the input information or the integrated information according to the information unit based on the reliability index, thereby forming the browsing disclosure information.

7. The human information management system according to any one of claims 1 to 4, characterized in that, The human information management system also includes an integrated information generation unit, which generates integrated information from multiple input information sources. The integrated information is generated by selecting or limiting the input information according to the information unit based on the reliability index.

8. The human information management system according to claim 7, characterized in that, In the integrated information, when a part of the input information is inconsistent with the existing information of the person, the reliability index of the part is compared with the reliability index of the corresponding part of the existing information of the person. When the difference in the height of the reliability index is above a threshold, only the one with the higher reliability index is retained. When the difference is less than the threshold, the part and the corresponding part coexist.

9. The human information management system according to any one of claims 1 to 4, characterized in that, The information reliability evaluation unit specifies multiple information reliability levels covering high and low reliability as the reliability index, and sets one of the intermediate levels (excluding the highest and lowest levels) as the initial value of the information reliability level.

10. The human information management system according to any one of claims 1 to 4, characterized in that, The human information management system also includes a long-term data management department. This long-term data management department is composed of multiple different storage media and has multiple recording sections for recording the input information or the integrated information. The multiple recording sections include at least: a first recording section that is more suitable for recording changes than other recording sections, and a second recording section that is more suitable for long-term storage than other recording sections. The long-term data management department records the data of information units with low reliability in the first recording department and records the data of information units with high reliability in the second recording department.

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