Information provision system, information provision method, and information provision program

Abstract

This invention provides an information provision system, method, and program that enables the provision of diverse information while suppressing the decline in the reliability of individual pieces of information. [Solution] The information provision system comprises: a map generation processing unit 1 that performs the process of generating predetermined map data indicating a geographical area; a provider registration processing unit 2 that performs the process of registering information providers who provide source information, which is information that serves as the source for creating location information, which is information about places located within the geographical area indicated by the map data; a knowledge field information generation processing unit 3 that generates knowledge field information, which is information about the knowledge fields of the information providers; a location information generation processing unit 4 for generating location information; a qualification information generation processing unit 5 that generates qualification information, which is information about the qualification evaluation of the information providers in relation to the generated location information; and an information provision processing unit 8 that performs information provision processing with the location information with qualification information attached in association with map data.

Description

[Technical Field]

[0001] The present invention relates to an information providing technology concerning buildings, land and the like included in map data. [Background Art]

[0002] In recent years, services have been developed that disclose maps in the form of electronic data via the Internet or the like, and also disclose information on buildings and land posted on the maps. Since a map needs to be visually displayed with a certain size, when providing a similar service using paper media, there are disadvantages such as a limited amount of information that can be posted, and difficulty in displaying the association between the position on the map and information regarding specific facilities. In contrast, when a service is provided in the form of electronic data, for example, for a facility of interest, when a pointer is moved to the position of the facility on the map, information related to the facility is automatically popped up and displayed. With this configuration, it is possible to provide a sufficient amount of information without impairing the visibility of the map. Furthermore, while information on buildings and land is updated on a daily basis, it is difficult to update information moment by moment with paper media. On the other hand, electronic information can be easily updated, which has the advantage of always providing the latest information.

[0003] Patent Document 1 discloses a technology that generates area evaluation information based on information about facilities included in a geographical region to be analyzed and demographic information in the region, and displays the area evaluation information in a mode corresponding to the region on map data. In addition, Patent Document 2 discloses a technology that identifies a position on a map linked to a user's posted text, estimates the user's emotion, and then displays an illustration corresponding to the user's emotion at the identified position on the map. [Prior Art Literature] [Patent Literature]

[0004] [Patent Document 1] Japanese Unexamined Patent Application Publication No. 2025-146995 [Patent Document 2] Japanese Patent Publication No. 2025-97492 [Overview of the Initiative] [Problems that the invention aims to solve]

[0005] While information about buildings and land placed on map data composed of electronic data can be guaranteed to be accurate if it is objectively measured by an appropriate organization (for example, demographic information in Patent Document 1), the number of individuals and organizations that can reliably generate highly reliable information is limited, thus limiting the amount of information that can be placed on the map and compromising its usability. On the other hand, when information provided by a wide range of individuals and organizations is included (for example, users in Patent Document 2), the amount of information increases, but the reliability of individual pieces of information decreases.

[0006] This invention has been made in view of the above-mentioned problems, and aims to provide a technology that enables the provision of a wide variety of information while suppressing a decline in the reliability of individual pieces of information when providing information on buildings, land, etc., included in map data. [Means for solving the problem]

[0007] To achieve the above objective, the information provision system according to claim 1 is an information provision system that provides location information, which is information about places including individual land and buildings located within a geographic area indicated by predetermined map data, and is characterized by comprising: location information generation processing means that perform location information generation processing, which includes information about the place and information about the location of the place, based on raw information provided by an information provider; knowledge field information generation processing means that perform knowledge field information generation processing, which includes information about information fields in which the information provider has expertise, based on one or more pieces of information from attribute information, which is information about the attributes of the information provider; career information, which is information about the career of the information provider; provision content information, which is information about the content of past information provided by the information provider; and evaluation information, which is information about third-party evaluations of the information provider; qualification information generation processing means that performs qualification information generation processing, which is information about the evaluation of the qualification of the information provider as an information provider in relation to the location information, based on information about information fields in which the information provider has expertise included in the knowledge field information and information about the information field of the location information generated from raw information provided by the information provider; and information provision processing means that perform information provision processing on the location information and the qualification information in a manner that associates the location information of the place included in the location information with the location on the predetermined map data. In this invention, "map data" refers to data showing the positional relationships of various locations (land, buildings, structures other than buildings, etc.) within a certain geographical area. This is not limited to so-called general maps, but may also be a list that numerically represents the positional relationships of each location (latitude, longitude, etc.), or it may be image data that visually represents the positional relationships, such as aerial photographs or illustrations. Furthermore, in this invention, "location" is not merely a location but a concept that includes specific land, buildings, bridges, towers, and other structures other than buildings. Different floors or areas within the same building may be considered different "locations" and thus subject to different location information.

[0008] Furthermore, in order to achieve the above objective, the information provision system according to claim 2 is characterized in that, in the above invention, the knowledge field information generation processing means performs a generation process for knowledge field information which includes field information which is information relating to an information field in which the information provider has knowledge and degree information which is information relating to the degree of knowledge that the information provider has about the information field in which the information provider has knowledge, and the eligibility information generation processing means performs a generation process for eligibility information which is based on the relationship between the field information included in the knowledge field information and the information field of the location information which was generated based on the original information provided by the information provider and the degree information included in the knowledge field information.

[0009] Furthermore, in order to achieve the above objective, the information provision system according to claim 3 is characterized in that, in the above invention, the knowledge field information generation processing means performs a generation process for degree information consisting of numerical information which is larger when the degree of knowledge is high than when the degree of knowledge is low, the eligibility information generation processing means performs a generation process for relevance information consisting of numerical information which is larger when the relevance is high than when the relevance is low, and the eligibility information generation processing is performed based on the result of multiplying the degree information and the relevance information.

[0010] Furthermore, in order to achieve the above objective, the information provision method according to claim 4 is an information provision method that provides location information which is information about individual land and buildings located within a geographical area indicated by predetermined map data, comprising: a location information generation processing step that performs location information generation processing including information about the land and buildings and information about the location of the land and buildings based on raw information provided by an information provider; a knowledge field information generation processing step that performs knowledge field information generation processing including information about information fields in which the information provider has expertise based on one or more pieces of information from attribute information which is information about the attributes of the information provider, career information which is information about the career of the information provider, provision content information which is information about the content of past information provided by the information provider, and evaluation information which is information about third-party evaluations of the information provider; and information about information fields of location information generated from raw information provided by the information provider. The system is characterized by including: a qualification information generation processing step that generates qualification information, which is information relating to the evaluation of the qualification of the information provider as an information provider in relation to the location information, based on the report; a transaction generation processing step that generates a transaction, which is recorded in an area of ​​the distributed ledger corresponding to a non-fungible token that corresponds to the information provider that provided the original information, and which includes the location information generated based on the original information and the qualification information relating to the location information; an output processing step that outputs the transaction generated in the transaction generation processing step to the distributed ledger; and an information provision processing step that provides information on the location information generated in the location information generation processing step and the qualification information generated in the qualification information generation processing step, in a manner that associates the location information contained in the location information with a location on predetermined map data.

[0011] Furthermore, in order to achieve the above objective, the information provision program according to claim 5 is an information provision program that causes a computer to provide location information, which is information about places including individual land and buildings located within a geographic area indicated by predetermined map data, and provides the computer a location information generation processing function that performs location information generation processing, which includes information about the place and information about the location of the place, based on raw information provided by the information provider, and attribute information, which is information about the attributes of the information provider, career information, which is information about the career of the information provider, provision content information, which is information about the content of past information provided by the information provider, and evaluation information, which is information about third-party evaluations of the information provider. The system is characterized by executing: a knowledge field information generation processing function that generates knowledge field information including information about information fields in which the information provider has expertise, based on one or more pieces of information; a qualification information generation processing function that generates qualification information, which is information about the evaluation of the qualification of the information provider as an information provider in relation to the location information, based on the information about information fields in which the information provider has expertise included in the knowledge field information and the information field information of the location information generated from the original information provided by the information provider; and an information provision processing function that provides information about the location information and the qualification information in a manner that associates the location information of the location included in the location information with the location on the predetermined map data.

[0012] Furthermore, in order to achieve the above objective, the information provision program according to claim 6 is characterized in that, in the above invention, it further performs an evaluation information generation processing function which performs an evaluation processing of evaluation information which is information relating to the evaluation of the location information and the eligibility information provided by the execution of the information provision processing function, and a reward determination function which determines the content of the reward to be provided to the information provider who provided the original information of the location information, based on the evaluation information and the eligibility information. [Effects of the Invention]

[0013] According to the present invention, when providing information on buildings, land, etc., included in map data, it is possible to provide a wide variety of information while suppressing a decline in the reliability of individual pieces of information. [Brief explanation of the drawing]

[0014] [Figure 1] This is a schematic diagram showing the configuration of the information provision system according to Embodiment 1. [Figure 2] This is a schematic diagram showing the configuration of the information provision system according to Embodiment 2. [Modes for carrying out the invention]

[0015] The embodiments of the present invention will now be described in detail with reference to the drawings. The following embodiments describe the most appropriate examples of the present invention, and naturally, the content of the present invention should not be limited to the specific examples shown in these embodiments. It goes without saying that any configuration other than the specific configurations shown in the embodiments that produces similar functions and effects is also included in the technical scope of the present invention. Furthermore, while embodiments 1 and 2 below describe an information provision system as an example, the present invention is not limited to physical devices such as systems, and may be configured by a method that includes the content described below, or by a program that causes a computer to execute the content described below, or by a storage medium in which such a program is stored and readable by the computer.

[0016] (Embodiment 1) First, the information provision system according to Embodiment 1 will be described. As shown in Figure 1, the information provision system according to Embodiment 1 includes: a map generation processing unit 1 that performs the process of generating predetermined map data indicating the geographical area to be disclosed; a provider registration processing unit 2 that performs the process of registering information providers who are information providers that provide source information, which is information that is the source of location information, which is information about places (land, buildings, etc.) located within the geographical area indicated by the map data generated by the map generation processing unit 1; a knowledge field information generation processing unit 3 that generates knowledge field information, which is information about the knowledge field of the information provider; a location information generation processing unit 4 for generating location information; and a system that generates eligibility information, which is information about the eligibility evaluation of the information provider in relation to the generated location information. The system comprises: an eligibility information generation processing unit 5; a token generation processing unit 6 that performs the generation of non-fungible tokens corresponding to information providers registered in the provider registration processing unit 2; an information output processing unit 7 that outputs information including location information and eligibility information regarding the information provider of said location information, generated based on information provided by a specific information provider, toward a block on a distributed ledger corresponding to the non-fungible token related to said information provider; an information provision processing unit 8 that performs information provision processing with the location information with eligibility information attached, associated with map data; and a reward processing unit 9 that performs reward payment processing to the information provider who provided the original information based on the evaluation of the provided location information.

[0017] The map generation processing unit 1 is for generating predetermined map data that indicates the geographical area subject to information disclosure. Here, "generation processing" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the map generation processing unit 1 comprises an area setting unit 10 that sets the range of the geographical area, a map data input unit 11 that inputs map data corresponding to the range set by the area setting unit 10, and a data output unit 12 that outputs the generated map data.

[0018] The area setting unit 10 is for setting the range of a geographical region that is a target of information disclosure. Specifically, the area setting unit 10 has a function of setting the range of a geographical region that is a target of information disclosure according to an application, a purpose, or the like, that is, the range of map data provided by the information providing system according to the first embodiment. As a mode for setting the range of a geographical region, the range may be designated by the name of the geographical region such as Japan, Honshu, or Tokyo, or the range may be set by specifically designating coordinates (latitude and longitude).

[0019] The map data input unit 11 is for inputting map data corresponding to the geographical region set by the area setting unit 10. Specifically, the map data input unit 11 has a configuration capable of inputting external public information through the Internet or the like, and has a function of inputting map data in a range corresponding to the area set by the area setting unit 10 from the public information. In the first embodiment, a configuration in which map data generated by a third party is input is adopted from the viewpoint of simplifying functions, but the configuration is not limited to this, and the system itself may be configured to generate map data. The map data in the present invention refers to data indicating the positional relationship of each place (land, buildings, structures other than buildings, etc.) within a certain geographical region, and is not limited to so-called general maps. It may be a list numerically expressing the positional relationship of each place (such as latitude and longitude), or may be image data visually expressing the positional relationship such as an aerial photograph or an illustration.

[0020] The data output unit 12 is for outputting map data corresponding to the geographical range set by the area setting unit 10. Specifically, the data output unit 12 has a function of modifying the data input via the map data input unit 11 as necessary, and outputting the modified data to the information providing processing unit 8. The information providing processing unit 8 outputs the map data and place information described later to the outside in a state where they are associated with each other.

[0021] The provider registration processing unit 2 is configured to perform registration processing on information related to an information provider that provides location information, which is information provided in association with map data. The term "registration processing" herein is a processing concept that includes both the direct registration performed by the unit itself and the indirect registration performed by instructing an external device (including programs installed on the external device, etc.) to perform registration. Specifically, the provider registration processing unit 2 comprises: an identity authentication processing unit 13 that performs identity authentication processing on the provider; a linkage processing unit 14 that performs linkage processing between the account set by the information provider and the information related to the information provider himself / herself; and a provider information recording unit 16 that collectively records the information related to the authenticated information provider and the information related to the result of the linkage processing as provider information.

[0022] The identity authentication processing unit 13 is configured to perform identity authentication processing to determine whether a person attempting to register as an information provider is indeed the person he / she claims to be. The term "authentication processing" herein is a processing concept that includes both the direct authentication performed by the unit itself and the indirect authentication performed by instructing an external device (including programs installed on the external device, etc.) to perform authentication. Specifically, the identity authentication processing unit 13 performs identity authentication, for example, by confirming the consistency between a video captured of the person's face and the person's image attached to an identification document. From the perspective of preventing fraud such as impersonation using synthesized videos generated by generative AI or the like, it is preferable that imaging devices such as cameras for capturing the person's video are under the control of the present system or a neutral third party.

[0023] The linking processing unit 14 is responsible for performing a linking process that links account information provided by an information provider with the information of the person authenticated by the identity authentication processing unit 13. Here, "linking process" is a processing concept that includes both direct linking and indirect linking by instructing external devices (including programs installed on external devices, etc.) to perform linking. Specifically, the linking processing unit 14 has the function of generating linking information, which is information about the relationship between the authenticated person's information and the account information, for account names (consisting of any string, but the person's name may be used as is) applied for by the information provider or automatically generated by this system. Through processing by the linking processing unit 14, the information provision system according to this embodiment 1 can determine who provided the information for specific location information from the account name that provided the original information. In addition, in the information provision system according to this embodiment 1, it is possible for the same person to register as a provider multiple times with different accounts, but each account is linked to the person by the linking processing unit 14, so it is possible to determine that the information was provided by the same person even if different account names were used. Furthermore, while it is possible to configure the system so that information regarding the linkage between the account and the user can be accessed by a third party, in this embodiment 1, a configuration is adopted in which third parties cannot access the information. Specifically, the information generated by the linkage processing unit 14 will not be included in the transaction described later, or it will be treated as being included in the transaction after being subjected to predetermined encryption processing or the like to make it undecipherable by third parties.

[0024] The provider information recording unit 16 is for recording provider information, which includes personal information, which is information about the person authenticated by the personal authentication processing unit 13, and linkage information, which is information about the relationship between the person and the account, which is processed by the linkage processing unit 14. In this embodiment 1, the provider information recording unit 16 records provider information within the information provision system according to this embodiment 1. However, if, for example, the provider information is encrypted and then included in a transaction and output to a distributed ledger, the provider information may be recorded in the distributed ledger.

[0025] The Knowledge Field Information Generation Processing Unit 3 is for generating knowledge field information, which is information about the knowledge fields of information providers who provide location information. Here, "generation processing" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Furthermore, "knowledge field" refers to an information field that can be included in location information in which the information provider has a certain degree of knowledge (it may be a comprehensive field such as medical care, restaurants, food sales, movie screenings, and music events, or it may be a specific field such as toothbrushing instruction conducted at a dentist's office, a particular menu item at a Chinese restaurant, or price fluctuations of a particular fresh food product). The Knowledge Field Information Generation Processing Unit 3 has the function of generating knowledge field information, which is information about each knowledge field, for each information provider who is the target of information recording by the provider information recording unit 16. Specifically, the knowledge field information generation processing unit 3 includes an attribute information acquisition unit 17 that acquires attribute information, which is information about the attributes of the information provider; a career information acquisition unit 18 that acquires career information, which is information about the career of the information provider; a provision content information acquisition unit 19 that acquires provision content information, which is information about the information provider's past provision content; an evaluation information generation processing unit 20 that acquires third-party evaluation information, which is information about third-party evaluations of the information provider's knowledge; and an information generation processing unit 21 that generates knowledge field information based on each of the acquired pieces of information.

[0026] The attribute information acquisition unit 17 is for acquiring attribute information, which is information about the attributes of the information provider after the identity authentication process has been completed. Specifically, the attribute information acquisition unit 17 acquires information about one or more attributes of the person, such as gender, age, and nationality, as attribute information. The acquisition method may be to input information declared by the information provider themselves, to collect and acquire the person's attribute information contained in publicly available information from the internet, etc., or to input attribute information estimated based on the person's facial image used when the identity authentication processing unit 13 performs the identity authentication process.

[0027] The career information acquisition unit 18 is for acquiring career information, which is information about the career of an information provider after identity verification processing. Specifically, the career information acquisition unit 18 has the function of acquiring one or more pieces of information as career information, such as the information provider's educational background, work history, and achievements (research results, product development achievements, book publications, column writing, academic conference presentations, paper publications, etc.). The method of acquiring career information may be by inputting information declared by the information provider themselves, or by collecting and acquiring career information contained in publicly available information from the internet, etc. Furthermore, the career information acquired by the career information acquisition unit 18 may be limited to career information that is written in resumes, work history documents, etc., but more preferably it will also include information on specific work activities, information on private activities such as daily hobbies, and information on simple behavioral history.

[0028] The provided information acquisition unit 19 is for acquiring provided information, which is information about the content of past information provided by information providers after they have undergone identity authentication processing. Specifically, the provided information acquisition unit 19 has the function of storing the input content each time information is provided by a specific information provider via the information input unit 22 (described later). In a preferred embodiment, the provided information acquisition unit 19 may also acquire provided information other than the provided information input via the information input unit 22, for example, information that the information provider has made public on the internet, etc.

[0029] The evaluation information generation processing unit 20 is for acquiring third-party evaluation information, which is information relating to a third-party evaluation of the knowledge of an information provider that has undergone identity authentication processing. Specifically, the evaluation information generation processing unit 20 has the function of acquiring information relating to a third-party evaluation of location information (for example, the number of "likes") generated by the location information generation processing unit 4 based on the information provided by the information provider. In a preferred embodiment, the evaluation information generation processing unit 20 may acquire not only evaluations of individual pieces of information provided by the information provider, but also evaluation information of the information provider's field of expertise itself (e.g., high speed of reporting of supermarket sale information, large amount of knowledge about music events, etc.).

[0030] The information generation processing unit 21 generates knowledge field information, which is information about the knowledge fields of the target information provider, based on at least one piece of information from among the attribute information acquired by the attribute information acquisition unit 17, the career information acquired by the career information acquisition unit 18, the provided content information acquired by the provided content information acquisition unit 19, and the third-party evaluation information acquired by the evaluation information generation processing unit 20. Here, "generation process" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the information generation processing unit 21 has the function of determining what information fields the information provider has a certain level of knowledge in based on this information, preferably determining the degree of knowledge in those fields, and then generating knowledge field information that includes these. Here, the degree of "a certain level of knowledge" can be set arbitrarily; for example, a level above the average knowledge level may be considered as having "a certain level of knowledge," or a knowledge level lower than that may be considered as having "a certain level of knowledge." Furthermore, the knowledge field identified by the information generation processing unit 21 may be any information field defined to suit each individual information provider, but more preferably, a predetermined number of information fields may be defined, and the field that appears to be the closest may be selected as the knowledge field from among these multiple information fields. Of course, the knowledge field identified by the information generation processing unit 21 is not limited to a single one; multiple knowledge fields may be identified for a single information provider, or it may be determined that there is no knowledge field at all (i.e., the information provider does not possess a certain level of knowledge or higher in any information field).

[0031] The information generation processing unit 21 has the function of determining the area of ​​expertise of the target information provider based on one or more pieces of information from attribute information, career information, provided content information, and third-party evaluation information, and generating area information, which is information related to the determination result, as part of the area of ​​expertise information. For example, if there is statistical data that men of a certain generation tend to be knowledgeable in a particular field of music, the information generation processing unit 21 will determine that the specific field of music or a broader field of music including it is the area of ​​expertise for information providers who belong to that attribute. Similarly, if there is career information related to a specific field, for example, if the person graduated from medical school or worked at a medical facility, the information generation processing unit 21 will determine that the specific field they specialized in or worked in during that career, or a broader field including it, is the area of ​​expertise. If there is evidence of publication of papers or books, or if information has been provided in the past, the information generation processing unit 21 will determine that the field covered in these publications or a broader field including it is the area of ​​expertise. Furthermore, the information generation processing unit 21 will also determine that specific information fields or broader information fields that are evaluated in third-party evaluation information are areas of expertise.

[0032] Furthermore, in a more preferred embodiment, the information generation processing unit 21 has a function to determine the degree of knowledge in a field of expertise in advance based on one or more pieces of information from attribute information, career information, provided content information, and third-party evaluation information, and to generate information as part of the field of expertise information to some extent based on the determination result. For example, the information generation processing unit 21 determines that the degree of knowledge is high if there is a high degree of agreement with a specific attribute that is indicated in statistical data as possessing a particular field of expertise. Similarly, the information generation processing unit 21 determines the degree of knowledge according to the quantity and quality of information belonging to the field of expertise from the career information and provided content information. For example, the information generation processing unit 21 has a function to determine the degree of knowledge in a field of expertise based on quantitative information such as the number of years worked in a specific field of expertise, the number of papers and books published in the specific field, and the number of pieces of provided information related to the specific field, and qualitative information such as the organization to which the person belonged when working, the journals in which papers were published, the publishing companies of books, and third-party evaluation information which is an objective evaluation of the work, papers, books, and provided information itself in the specific field, and to generate field of expertise information including the determination result. When the information generation processing unit 21 determines the degree of knowledge, it is preferable to also consider the timing of the occurrence of facts included in the attribute information, career information, and / or provided content information, as well as the social conditions at the time of occurrence. For example, even if the information generation processing unit 21 has information on facts that would generally serve as the basis for possessing advanced knowledge, if the fact occurred more than 20 years ago, it will only be used as reference, while if it occurred recently, it will be treated as facts that would serve as the basis for possessing a very high degree of knowledge. Furthermore, if there are multiple career / information provision facts regarding the same field of knowledge, it is preferable for the information generation processing unit 21 to determine that the degree of knowledge is high if the degree of knowledge inferred from these multiple facts has increased over time, and to determine that the degree of knowledge is high if it has decreased over time, and to determine that the degree of knowledge is low if it has decreased over time. In addition, even if the information generation processing unit 21 has information on facts that would generally serve as the basis for possessing advanced knowledge, if the social conditions related to the field of knowledge to which the fact belongs are different from the present, it is preferable to generate degree information based on the information on the facts that would serve as the basis for determining that the degree of knowledge is low.For example, if, at the time a fact concerning a particular field of knowledge occurred, a now-rejected or obsolete idea was widely used, the information generation processing unit 21 shall use that fact not as evidence of advanced knowledge, but as evidence of a low level of knowledge. The specific expression of "level of knowledge" may be arbitrary, but from the viewpoint of ease of information processing, it is desirable to express it as numerical information (e.g., a 10-point scale where 10 is the highest level of knowledge and 1 is the lowest). The identification of a field of knowledge and the determination of the level of knowledge within that field by the information generation processing unit 21 may be based on predetermined criteria (for example, the presence and frequency of specific keywords set according to the field of knowledge in each piece of information), or it may be done using so-called text mining techniques, i.e., natural language processing. Furthermore, in text mining techniques, large language models (LLMs) generated by machine learning, deep learning, or reinforcement learning may be used.

[0033] The location information generation processing unit 4 is for generating location information, which is information relating to places (in this invention, "place" is not merely a location but a concept that includes specific land, buildings, bridges, towers and other structures other than buildings. Also, different floors and areas of the same building may be considered different "places" and thus subject to different location information.) that exist within the geographical area indicated by the map data generated by the map generation processing unit 1. Here, "generation processing" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the location information generation processing unit 4 includes an information input unit 22 that inputs source information provided by an information provider, an information extraction unit 23 that extracts location-related information from the content of the source information, an information provider identification unit 24 that identifies the information provider that provided the source information, a location identification unit 25 that identifies information regarding the specific location of the place included in the source information, and an information generation processing unit 26 that generates location information including location-related information extracted by the information extraction unit 23, information identified by the information provider identification unit 24, and information regarding the specific location of the place identified by the location identification unit 25.

[0034] The information input unit 22 is for inputting source information, which is information provided by the information provider. In this embodiment 1, the information input unit 22 will input not only information provided by the information provider with the active intention of being used as location information, but also information that can be used as location information among information provided to other services, such as social networking services. Therefore, the specific method of inputting source information into the information input unit 22 is not only to passively input information provided to the information input unit 22, but also to actively search for and input information that can be used as location information among information provided to other services, etc.

[0035] The information extraction unit 23 is for extracting location-related information from the source information input via the information input unit 22. Specifically, the information extraction unit 23 has the function of extracting information that can be used as location information, i.e., information related to a specific location, from among the various pieces of information contained in the source information. For example, if the content of the source information includes a review of a movie that was watched, comments on a celebrity scandal, and an introduction to a newly opened restaurant in the neighborhood, the information extraction unit 23 has the function of extracting the part introducing the newly opened restaurant in the neighborhood. If the source information does not contain information related to a specific location, the information extraction unit 23 in this embodiment 1 will not perform any information extraction processing, and the location information generation processing unit 4 will not perform any further processing on the source information in question.

[0036] The information provider identification unit 24 is for identifying the information provider who provided the original information entered via the information input unit 22. Specifically, the information provider identification unit 24 has the function of extracting information about the information provider from the data contained in the original information and identifying the information provider of the original information based on that information. In this embodiment 1, the information provider identification unit 24 is for identifying which information provider (specifically, information that identifies the person, but in this embodiment it is information that identifies the account) the provider of the location information is when the location information is generated. If the provider of the entered original information is different from any of the registered information providers, or if it is not possible to identify who it is, the information provider identification unit 24 will terminate the process without identifying the information provider, and the location information generation processing unit 4 will not perform any further processing on the original information.

[0037] The location identification unit 25 is for identifying the specific location of the place mentioned in the input source information. Specifically, the location identification unit 25 has the function of identifying the location information of the place extracted by the information extraction unit 23 from the source information. The location identification process by the location identification unit 25 may identify the name of the place (e.g., Kasumigaseki Building, Hibiya Park) or it may identify it by numerical information such as latitude and longitude. The location identification unit 25 is for identifying the location of place information to be displayed on the map data. If the location cannot be identified or if it is found that the identified location is located outside the geographical range covered by the map data, the location identification unit 25 will terminate the process without identifying the specific location and will not perform any further processing on the source information by the location information generation processing unit 4.

[0038] The information generation processing unit 26 generates location information which includes location information extracted by the information extraction unit 23 from the original information input via the information input unit 22, information about the information provider identified by the information provider identification unit 24, and information about the specific location of the place mentioned by the extracted information, identified by the location identification unit 25. Here, "generation process" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. The location information generated by the information generation processing unit 26 is output to the information output processing unit 7.

[0039] The eligibility information generation processing unit 5 is for generating eligibility information, which is information regarding the eligibility assessment of the information provider who provided the information in relation to the generated location information. Here, "generation process" is a processing concept that includes both direct generation by itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the eligibility information generation processing unit 5 comprises an information field analysis unit 27 that analyzes the information field of the location information, a relationship information generation processing unit 28 that generates relationship information, which is information regarding the relationship between the information field analyzed by the information field analysis unit 27 and the knowledge field of the information provider who provided the information that forms the basis of the location information, and an information generation processing unit 29 that generates eligibility information based on the knowledge field information and relationship information.

[0040] The Information Field Analysis Unit 27 analyzes whether the location information generated by the Location Information Generation Processing Unit 4 relates to an information field. Specifically, the Information Field Analysis Unit 27 determines the information fields included in the location information by analyzing its content. The process for determining the information fields included in the location information may be based on the frequency of occurrence of predetermined keywords corresponding to the information fields, or it may be determined by text mining techniques using large-scale language models, etc. Furthermore, the information fields determined by the Information Field Analysis Unit 27 may be any fields defined according to the content of each piece of location information, but more preferably, similar to the case of knowledge fields generated by the Information Generation Processing Unit 21 in the Knowledge Field Information Generation Processing Unit 3, multiple options may be predetermined as information fields, and the one that is considered to be closest to the content of the location information may be selected from among these options. In that case, it is even more preferable to pre-determine the same options as for knowledge fields.

[0041] The relationship information generation processing unit 28 is for generating relationship information, which is information regarding the strength of the relationship between the information field of the location information obtained by the information field analysis unit 27 and the knowledge field of the information provider that provided the information that is the source of the location information. Here, "generation process" is a processing concept that includes both direct generation by itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the relationship information generation processing unit 28 has the function of generating relationship information, for example, information regarding the strength of the commonality between the information field of the knowledge field information concerning the information provider and the information field of the location information. Regarding the relationship determination process by the relationship information generation processing unit 28, the determination may be made by comparing and examining the common parts and differences between information fields based on the specific content of each information field, or the relationship between different information fields (= how much commonality there is, etc.) may be stored in advance, and the relationship information regarding the strength of the relationship between information fields may be generated as relationship information based on the stored content. The specific form of the generated relevance information can be arbitrary, but in this embodiment 1, it includes numerical information corresponding to the degree of commonality and proximity between the information field of the knowledge field information and the information field of the location information. For example, it is preferable to set the value to 10 if the two information fields are completely identical, to 0 if there is no commonality and they are unrelated, and to increase the value as the commonality increases.

[0042] The information generation processing unit 29 generates eligibility information, which is information regarding the evaluation of the eligibility of an information provider, based on the relevance information generated by the relevance information generation processing unit 28, and more preferably based on the knowledge field information and relevance information of the information provider who provided the information that forms the basis of the location information. Here, "generation process" is a processing concept that includes both direct generation by the unit itself and indirect generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the information generation processing unit 29 has the function of outputting the relevance information derived in relation to the field information as eligibility information when the knowledge field information includes only field information, and generating eligibility information based on both the degree information and the relevance information when the knowledge field information includes degree information. In the latter case, the information generation processing unit 29 has the function of generating eligibility information by correcting the content of the degree information according to the content of the relevance information. Specifically, for example, when degree information and relevance information consist of numerical data, or can be converted to numerical data, the information generation processing unit 29 performs calculation processing on the degree information using the relevance information (the simplest process may be multiplication of the two). As a result, the higher the degree of knowledge in the knowledge field indicated by the degree information, and the higher the commonality between the information field of the knowledge field and the information field of the location information indicated by the relevance information, the higher the degree of qualification information (higher numerical value when expressed as numerical information) will be generated. If the information provider who provided the original information has a high degree of knowledge in the knowledge field (= high value of degree information), and there is a high commonality between the information field to which the knowledge field belongs and the information field of the generated location information (= high value of relevance information), then the qualification information indicates high qualification as an information provider for a specific location information, that is, the accuracy and detail of the location information originating from that information provider is high. The qualification information generated by the information generation processing unit 29 is output to the information output processing unit 7, and the information output processing unit 7 outputs it together with the location information to the block of the distributed ledger.

[0043] The token generation processing unit 6 is for generating tokens that are non-fungible tokens corresponding to information providers. Here, "generation processing" is a processing concept that includes both direct generation and indirect generation by instructing external devices (including programs installed on external devices, etc.) to generate tokens. A non-fungible token is a so-called NFT (Non-Fungible Token), that is, a token that has the property of being non-fungible with other tokens by possessing unique data, for example, data issued based on the Ethereum® standard ERC721. The token generation processing unit 6 has the function of generating different tokens for each information provider, and for example, if the same person is registered as a different information provider under multiple account names, it may generate a single token for each account, but in this embodiment 1, different tokens are generated for each account.

[0044] A non-fungible token has a three-tiered structure consisting of index data, metadata, and content data. The index data includes unique identification information (such as a token ID) to distinguish the token from others, information about the address where the token is stored (for example, a public address linked to the holder), location information generated by the information generation processing unit 26, and link information to the metadata. The metadata includes the name and description of the token, and, if there is content associated with the token, link information to that content data. Information about the generated non-fungible token is recorded in a distributed ledger, as described later. Specifically, the index data, which includes at least the identification information, holder information, and link information to the metadata, is recorded in the distributed ledger. The configuration may also include recording all or part of the metadata and content data other than the index data in the distributed ledger.

[0045] A distributed ledger is a system in which data is shared and managed by multiple participants, rather than by a central administrator. Blockchain, a form of distributed ledger, is a technology that synchronizes data between multiple computers (nodes) using cryptographic techniques. Specifically, each block is composed of a collection of token information, such as agreed-upon transaction records, and information for connecting to other blocks (information from the previous block). A blockchain is formed by linking multiple such blocks. Even if data is tampered with on some of the computers, the correct data is selected by majority vote among the other computers, making it extremely difficult to destroy or tamper with the data. Blockchains can be classified into public blockchains, which do not restrict who can participate in the majority vote, meaning that an unspecified number of people can participate in the recording process on the distributed ledger; and consortium blockchains and private blockchains, which only allow a select number of specific individuals to participate in the majority vote, meaning that only predetermined individuals can participate in the recording process on the distributed ledger. In this embodiment 1, a public blockchain is used as the distributed ledger, but a consortium blockchain, a private blockchain, or a distributed ledger with a configuration other than these may also be used.

[0046] The information output processing unit 7 is responsible for outputting information, including location information generated based on information provided by a specific information provider and eligibility information regarding the information provider in relation to said location information, toward a token relating to said information provider and a corresponding block on the distributed ledger. Here, "output processing" is a processing concept that includes both direct output by the unit itself and indirect output by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the information output processing unit 7 comprises a transaction generation processing unit 30 that performs transaction generation processing, which is information stored in a block in the distributed ledger corresponding to the token; an electronic signature generation processing unit 31 that performs electronic signature generation processing, which is data that proves that the generation and output of the transaction are in accordance with the intentions of the token holder; and an output processing unit 32 that performs output processing of the transaction and electronic signature toward the distributed ledger.

[0047] The transaction generation processing unit 30 generates a transaction that includes location information generated by the location information generation processing unit 4 and eligibility information generated by the eligibility information generation processing unit 5. This information is stored in the area (block) of the distributed ledger corresponding to the token generated by the token generation processing unit 6 (i.e., recorded in the distributed ledger). Here, "generation process" is a processing concept that includes both direct generation and indirect generation by instructing external devices (including programs installed on external devices, etc.) to generate the information. Specifically, the transaction generation processing unit 30 generates a transaction that includes, as the content of the transaction, information about the token, including information about the setting and transfer of the token holder name (= information provider corresponding to the token) (for example, information including a public address corresponding to the holder name), as well as location information and eligibility information generated based on information provided by the same information provider as the holder name. More preferably, the transaction generation processing unit 30 may include in the transaction provider information (information about the person and information linked to the account name) related to the same information provider as the holder name, which has been modified (for example, encrypted) to the extent that it cannot be deciphered by a third party.

[0048] The electronic signature generation processing unit 31 is for generating an electronic signature, which is data that proves that the generation and output of information included in a transaction is in accordance with the intentions of the token holder. Here, "generation process" is a processing concept that includes both direct generation and indirect generation by instructing external devices (including programs installed on external devices, etc.) to generate. Specifically, the electronic signature generation processing unit 31 has the function of generating a hash value for a transaction and encrypting the hash value with a private key managed by the information provision system according to this embodiment 1 (or known to the token holder if notified to the token holder) to generate an electronic signature. The "hash value" is a fixed-length value obtained by applying a certain calculation procedure to the original data. Since this calculation procedure is irreversible, it is considered impossible to recover the original data from the hash value. The "private key" is a sequence of numbers used in the encryption process and is configured to be decryptable by the corresponding "public key".

[0049] The output processing unit 32 is for outputting the transaction generated by the transaction generation processing unit 30 and the electronic signature related to the transaction generated by the electronic signature generation processing unit 31 to the distributed ledger corresponding to the token. In this embodiment 1, the output processing unit 32 is configured to directly output the transaction and electronic signature, but it may also be configured to simply instruct other components (including those provided outside the information provision system according to embodiment 1) to output. In this embodiment 1, the output processing unit 32 is directly or indirectly connected to the distributed ledger and is configured to output predetermined data to the distributed ledger. The computers (nodes) constituting the distributed ledger generate a hash value for each outputted transaction and compare it with the data obtained by decrypting the corresponding electronic signature with a public key (= hash value of the transaction). If the two values ​​are different, it is determined that it is not a genuine transaction and registration is rejected. If the two values ​​match, it is determined that it is a genuine transaction and the information composed of the transaction is stored in a block constituting the distributed ledger. The output processing unit 32 identifies the output destination (the area where the outputted transaction is recorded) by specifying the area within the distributed ledger's recording area where the token identification information is recorded.

[0050] The information provision processing unit 8 is for providing users with location information generated by the location information generation processing unit 4 and eligibility information generated by the eligibility information generation processing unit 5 regarding said location information. Here, "information provision processing" is a processing concept that includes both directly providing information and indirectly instructing external devices (including programs installed on external devices, etc.) to provide information. Specifically, the information provision processing unit 8 has the function of outputting location information, eligibility information, and map data in a manner that associates the location information contained in the location information with the corresponding location on the map data. As for the manner in which the information provision processing unit provides information, for example, it may directly output location information, eligibility information, and map data to a portable information terminal used by the user, or it may output to a server device that constitutes a network such as the Internet and display the location information and eligibility information regarding said location information on a homepage, etc., based on the map data, in an area on the map data corresponding to the location information, making it viewable by the user.

[0051] In this embodiment 1, the information provision processing unit 8 is configured to directly acquire location information and eligibility information from the location information generation processing unit 4 and the eligibility information generation processing unit 5. However, it may also access a distributed ledger and acquire location information output by the information output processing unit 7 and recorded in the distributed ledger. In this case, the information provision processing unit 8 accesses an area in the distributed ledger that records information about a predetermined token based on the identification information of a non-fungible token corresponding to the information provider, acquires location information and eligibility information from the information recorded in that area, and then provides the acquired location information and eligibility information to the user. Furthermore, in this embodiment 1, the information provision processing unit 8 adopts a configuration that provides both location information, eligibility information and map data to the user. However, as a simpler configuration, it may be configured to output only location information and eligibility information after processing the map data provided by an external service so that it is displayed in correspondence with the location information of the place on the map data.

[0052] The reward processing unit 9 is responsible for processing the payment of rewards to information providers who provided the original information, in accordance with the evaluation of the provided location information. Here, "payment processing" is a processing concept that includes both directly paying the reward and indirectly instructing external devices (including programs installed on external devices, etc.) to pay the reward. Specifically, the reward processing unit 9 comprises an evaluation information generation processing unit 33 that processes the collection of evaluation information, which is information related to the evaluation of the location information; a reward determination unit 34 that determines the content of the reward according to the collected evaluation information; and a reward provision unit 35 that provides the reward determined by the reward determination unit 34 to the information provider.

[0053] The evaluation information generation processing unit 33 collects evaluations of the provided location information and eligibility information, and then generates evaluation information, which is information related to those evaluations. Here, "collection processing" and "generation processing" are processing concepts that include both direct collection and generation by the unit itself, and indirect collection and generation by instructing external devices (including programs installed on external devices, etc.) to do so. Specifically, the evaluation information generation processing unit 33 has the function of generating evaluation information based on information such as the number of views of the location information, evaluation values ​​provided by third parties (for example, the number of "likes"), and the number of times it has been cited in other articles, etc.

[0054] The reward determination unit 34 is for determining the reward to be provided to the information provider who provided the information that forms the basis of the location information, based on the evaluation information related to the location information obtained as a result of the evaluation collection process by the evaluation information generation processing unit 33. Specifically, the reward determination unit 34 has the function of determining, for example, a base reward to be provided for each piece of location information, and an evaluation reward determined according to the content of the evaluation information (for example, the level of the evaluation value if the evaluation information includes an evaluation value).

[0055] The reward provision unit 35 is for providing the reward determined by the reward determination unit 34 to the target information provider. The method of provision may be any known method, and the reward may be provided in cash, securities or similar assets, or in crypto assets such as Bitcoin or stablecoins.

[0056] Next, the advantages of the information provision system according to this embodiment 1 will be explained. First, in this embodiment 1, a configuration is adopted that allows for the collection of diverse raw information from a wide range of people without setting any specific qualifications for becoming an information provider. At the same time, a configuration is adopted in which the system can identify who the information provider is by performing an identity verification process for the information provider. By adopting such a configuration, it is possible to provide information providers with an incentive to ensure the accuracy of the content of the raw information, and thereby has the advantage of suppressing a decline in the reliability of the provided location information. Furthermore, by performing an identity verification process, if it is found that a certain location information is false, it is possible to uniformly make all location information based on raw information provided by the same person private, which also has the advantage of suppressing a decline in the reliability of the location information. Moreover, in this embodiment 1, it is possible to easily ascertain how many people have provided the raw information for location information by performing an identity verification process, and a configuration is adopted in which the information provider of the raw information is rewarded according to the evaluation of the location information. By adopting a system in which rewards are given for providing highly-rated location information, i.e., highly reliable information, the information provision system according to this embodiment 1 has the advantage that it is possible to provide a wide variety of location information by using raw information from diverse people, and that it is possible to suppress a decline in the reliability of individual location information.

[0057] Furthermore, the information provision system according to this embodiment 1 employs a configuration in which the generated location information is stored in blocks in a distributed ledger. Distributed ledgers have the characteristic that data destruction and tampering are extremely difficult, and by recording location information in a distributed ledger, for example, if there is suspicion of tampering with the provided location information, it is possible to check whether or not tampering has occurred by comparing it with the location information recorded in the distributed ledger, and if tampering has occurred, the reliability of the location information can be suppressed by providing the location information recorded in the distributed ledger again.

[0058] Furthermore, the information provision system according to this embodiment 1 employs a configuration that generates not only location information but also qualification information regarding the evaluation of the qualifications of the information provider who provided the original information for the location information. By adopting such a configuration, viewers of the information provision system can understand to what extent the location information they are viewing was provided by a person who is qualified as an information provider in relation to the location information, thereby enabling them to judge the credibility and reliability of the location information. In addition, the information provision system according to this embodiment 1 employs a configuration that generates qualification information based on relevance information, which is determined according to the strength of the relationship between the information field in which the information provider has expertise and the information field of the location information, and degree information, which indicates the degree of expertise in the information field in which the information provider has expertise. This also has the advantage that the qualification information can more accurately indicate to what extent the information provider who provided the original information is qualified as an information provider in relation to the location information.

[0059] (Embodiment 2) Next, the information provision system according to Embodiment 2 will be described. In Embodiment 2, components that have the same name and reference numerals as those in Embodiment 1 will perform the same functions as those in Embodiment 1 unless otherwise specified.

[0060] Figure 2 is a schematic diagram showing the configuration of the information provision system according to Embodiment 2. As shown in Figure 2, the information provision system according to Embodiment 2 newly includes a reward determination unit 36 ​​that determines the reward content after considering not only evaluation information but also eligibility information related to the location information, in addition to the configuration of Embodiment 1.

[0061] The reward determination unit 36, similar to the reward determination unit 34 in Embodiment 1, has the function of determining rewards based not only on the evaluation information collected by the evaluation information generation processing unit 33 for the target location information, but also on the eligibility information related to the location information. Specifically, for location information with high eligibility information (including cases where the value is high when converted to a numerical value), it has the function of determining the base reward and / or evaluation reward so that the reward amount is higher compared to location information where the quality and quantity of evaluation information are similar, but the eligibility information is low. For example, the reward determination unit 36 ​​has the function of determining the final base reward and / or evaluation reward by first determining a provisional base reward and / or evaluation reward using an algorithm equivalent to that of the reward determination unit 34 in Embodiment 1, and then multiplying each reward by a coefficient calculated based on the eligibility information (preferably set to be a large value when eligibility is high and a low value when eligibility is low).

[0062] Next, the advantages of the information provision system according to this second embodiment will be described. In the information provision system according to this second embodiment, the content of the eligibility information is also taken into consideration when determining the reward, and specifically, a configuration is adopted in which the reward amount is higher when the evaluation of the eligibility of the information provider in relation to the location information is high. By adopting such a configuration, information providers are motivated to provide information that will increase their eligibility, that is, to provide information in information fields in which they have a certain level of advanced knowledge, and consequently, the information provision system has the advantage of being able to provide location information with a high degree of accuracy and detail that reflects the knowledge fields of each information provider.

[0063] Although the present invention has been described above in terms of Embodiments 1 and 2, the technical scope of the present invention should not be interpreted as being limited to the specific configurations described in the embodiments. Various modifications and applications of the above embodiments are also within the technical scope of the present invention, as long as they can realize the functions of the present invention. For example, while Embodiments 1 and 2 assumed that the map data pertained to a real geographical area, location information may also be provided for map data pertaining to a geographical area in creative works such as stories and video games. Furthermore, the source information from which location information is generated does not need to be a single piece of information. A single piece of location information may be generated from multiple pieces of source information, or conversely, multiple pieces of location information may be generated from a single piece of source information. [Industrial applicability]

[0064] This invention can be used as a technology to provide information about buildings, land, etc., included in map data. [Explanation of Symbols]

[0065] 1. Map generation processing unit 2. Provider Registration Processing Unit 3. Knowledge Field Information Generation Processing Unit 4. Location Information Generation Processing Unit 5. Eligibility Information Generation Processing Unit 6. Token generation processing unit 7. Information Output Processing Unit 8. Information Provision Processing Unit 9, 37 Reward Processing Unit 10 Area setting section 11 Map data input section 12. Data output section 13. User Authentication Processing Unit 14. Interoperability Processing Unit 16. Provider Information Recording Section 17 Attribute information acquisition section 18. Department for Acquiring Career Information 19 Provided content information acquisition department 20 Evaluation Information Generation Processing Unit 21 Information Generation Processing Unit 22 Information Input Section 23 Information extraction part 24 Information provider identification department 25 Location Identification Department 26 Information Generation Processing Unit 27 Information Field Analysis Department 28. Relevance Information Generation Processing Unit 29 Information Generation Processing Unit 30 Transaction generation processing unit 31 Electronic Signature Generation Processing Unit 32 Output Processing Unit 33 Evaluation Information Generation Processing Unit 34, 36 Compensation Determination Department 35 Compensation Department

Claims

1. An information provision system that provides location information, which is information about places including individual land parcels and buildings located within a geographical area indicated by predetermined map data, Location information generation processing means that performs location information generation processing, including information about the location and information about the position of the location, based on raw information provided by the information provider. Knowledge field information generation processing means that generates knowledge field information including information about the information field in which the information provider has expertise, based on one or more pieces of information from attribute information which is information about the attributes of the information provider, career information which is information about the career of the information provider, provision content information which is information about the content of past information provided by the information provider, and evaluation information which is information about third-party evaluations of the information provider. A qualification information generation processing means performs a qualification information generation process, which is information relating to the evaluation of the qualification of the information provider as an information provider in relation to the location information, based on the information relating to the information field in which the information provider has knowledge, included in the knowledge field information, and the information relating to the location information generated from the original information provided by the information provider. Information provision processing means that provides information provision processing for the location information and eligibility information in a manner that associates the location information of the location included in the location information with the location on the predetermined map data, An information provision system characterized by having the following features.

2. The knowledge field information generation processing means performs a process to generate knowledge field information which includes field information which is information about an information field in which the information provider has knowledge, and degree information which is information about the degree of knowledge the information provider has about the information field in which the information provider has knowledge. The information provision system according to claim 1, characterized in that the eligibility information generation processing means performs eligibility information generation processing based on the relationship between the field information included in the knowledge field information and the information field of the location information generated based on the original information provided by the information provider, and the degree information included in the knowledge field information.

3. The aforementioned knowledge field information generation processing means performs a process to generate degree information consisting of numerical information that is larger when the degree of knowledge is high than when the degree of knowledge is low. The information provision system according to claim 2, characterized in that the eligibility information generation processing means performs a generation process for the relevance information, which consists of numerical information that is larger in the case of high relevance than in the case of low relevance, and performs the generation process for the eligibility information based on the result of multiplying the degree information and the relevance information.

4. A method for providing location information, which is information about individual land parcels and buildings located within a geographical area indicated by predetermined map data, A location information generation process that generates location information including information about the land and building and information about the location of the land and building based on raw information provided by an information provider, A knowledge field information generation process that generates knowledge field information including information fields in which the information provider has expertise, based on one or more pieces of information from attribute information which is information about the attributes of the information provider, career information which is information about the career of the information provider, provision content information which is information about the content of past information provided by the information provider, and evaluation information which is information about third-party evaluations of the information provider. A qualification information generation process step, based on the information field information in which the information provider has expertise and the information field information of the location information generated from the original information provided by the information provider, generates qualification information which is information regarding the evaluation of the information provider's qualification as an information provider in relation to the location information. A transaction generation process step that performs a transaction generation process, which is recorded in a distributed ledger in an area corresponding to a non-fungible token that is in a relationship with the information provider that provided the original information, and which includes information including location information generated based on the original information and eligibility information related to the location information; The output processing step involves outputting the transaction generated in the transaction generation processing step to a distributed ledger, An information provision processing step is performed to provide information on the location information generated in the location information generation processing step and the eligibility information generated in the eligibility information generation processing step, in a manner that associates the location information contained in the location information with a location on the predetermined map data. A method of providing information characterized by including the following.

5. An information provision program that causes a computer to provide location information, which is information about places including individual land parcels and buildings located within a geographical area indicated by predetermined map data, To the aforementioned computer, A location information generation processing function that generates location information including information about the location and information about the position of the location, based on the raw information provided by the information provider, A knowledge field information generation processing function that generates knowledge field information, including information about the information field in which the information provider has expertise, based on one or more pieces of information from the following: attribute information, which is information about the attributes of the information provider; career information, which is information about the career of the information provider; content information, which is information about the content of past information provided by the information provider; and evaluation information, which is information about third-party evaluations of the information provider. A qualification information generation processing function that generates qualification information, which is information regarding the evaluation of the qualification of the information provider as an information provider in relation to the location information, based on the information regarding the information field in which the information provider has knowledge, included in the knowledge field information, and the information field of the location information generated from the original information provided by the information provider, An information provision processing function provides information provision processing for the location information and eligibility information in a manner that associates the location information of the location included in the location information with the location on the predetermined map data, An information provision program characterized by causing the execution of an action.

6. An evaluation information generation processing function performs evaluation information generation processing, which is information relating to the evaluation of location information and eligibility information provided by the execution of the aforementioned information provision processing function, A reward determination function that determines the amount of reward to be provided to the information provider who provided the source information for the location information, based on the aforementioned evaluation information and the aforementioned eligibility information. The information provision program according to claim 5, characterized in that it further performs the following.

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