Information asset management device, information asset management system, and information asset management method

Abstract

To provide an information asset management device capable of achieving recording of the utilization status about shared information assets, evaluation and distribution of information asset values based on the recorded utilization information, and a series of distribution processes for a compensation claim, an information asset management system, and an information asset management method.SOLUTION: A server terminal comprises a CPU and an auxiliary storage device. The auxiliary storage device includes an information asset table, a utilization history table, an accelerator authority table, a value distribution table, and a compensation table. The CPU calculates a value distribution for an information asset and a billed amount for the utilization of the information asset on the basis of the management information.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to an information asset management device, an information asset management system, and an information asset management method, and in particular to an information asset management device, an information asset management system, and an information asset management method for evaluating the value of information assets and for charging for their distribution and utilization when information assets are shared among multiple businesses. [Background technology]

[0002] In response to an increasingly complex business environment, there has been an increased trend for businesses to transfer information assets and provide information to each other, with the aim of improving efficiency and promoting collaborative creation and open innovation. In order to support such activities, systems that support the provision of information assets, etc. have been proposed. For example, an intellectual property information management system (Patent Document 1) that supports the provision of intellectual property between intellectual property holders and entrepreneurs, and an intellectual property information exchange support system between universities and companies (Patent Document 2) are well known.

[0003] In these systems, when charging the parties involved and distributing the value, the value of the information assets is assessed by a method of estimating the potential value (Patent Document 1) or a method based on a predetermined amount (Patent Document 2).Other examples of methods for assessing the value of information assets include a method based on an assessment policy in a reliability assessment system for products in a supply chain (Patent Document 3) and a buying and selling matching method based on market principles in a support fund collection system (Patent Document 4). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-91552 A [Patent Document 2] JP 2011-232892 A [Patent Document 3] JP 2021-131631 A [Patent Document 4] JP 2019-23843 A Summary of the Invention [Problem to be solved by the invention]

[0005] These methods are effective when it is possible to evaluate the value of each information asset at the time of its provision, or when it is not possible to determine and allocate a predetermined amount in advance. On the other hand, when multiple businesses share information assets with each other, such as when a group of affiliated businesses form a consortium to share and utilize information assets with each other, a large amount of information assets are shared, so the premise of evaluating the value individually one by one at the time of provision is not realistic. Even if an attempt is made to automate the evaluation of the value at the time of provision, it is often difficult to reach a prior agreement on the evaluation and allocation methods due to differences in each party's organizational culture, values ​​regarding information assets, and the importance of information assets in business strategies. Furthermore, it is even more difficult to predetermine a uniform evaluation and allocation method, as much opposition is expected.

[0006] In such a situation, after information assets have been shared and utilized, it would be desirable to evaluate the value of the information assets, charge for them, and distribute the value based on a clear and fair basis, namely, the track record of their utilization. However, there is no system that can realize the evaluation and distribution of value based on the utilization status of information assets in cases where multiple businesses share information assets with each other, such as when a group of affiliated businesses share information assets with each other within a consortium and utilize them jointly.

[0007] Therefore, the present invention aims to provide an information asset management device, an information asset management system, and an information asset management method that can record the utilization status of shared information assets, evaluate the value of the information assets based on the recorded utilization information, and realize a series of distribution processes including distribution and payment claims. [Means for solving the problem]

[0008] In order to solve the above problem, the information asset management device of the present invention is an information asset management device that comprises a storage device, a processing device, and a communication device, and is used to manage the mutual sharing, utilization, value allocation, and fee charged of information assets within a sharing scope agreed upon by a group of affiliated businesses, wherein the information asset and information regarding the information asset are input via the communication device from a terminal used to share and utilize the information asset, the storage device holds the information asset, value assessment information regarding the value of the information asset, and utilization information that is information regarding the utilization of the information asset, and management information for managing the mutual sharing, utilization, and value allocation of the information asset, as well as the fee charged for the utilization of the information asset, and the processing device is configured to calculate the value allocation for the information asset using the utilization information, or the value assessment information and the utilization information, and calculate the fee charged for the utilization of the information asset using the utilization information, or the value assessment information and the utilization information.

[0009] The information asset management system of the present invention is an information asset management system including a terminal used for sharing and utilizing information assets, and an information asset management device which is equipped with a storage device, a processing unit, and a communication device, and is used to manage the mutual sharing, utilization, value allocation, and fee charged of the information assets within the sharing scope agreed upon by a group of affiliated businesses, and into which the information assets and information regarding the information assets are input from the terminal via the communication device, wherein the storage device of the information management device holds the information assets, value assessment information regarding the value of the information assets, and utilization information which is information regarding the utilization of the information assets, and management information for managing the mutual sharing, utilization, and value allocation of the information assets, as well as the fee charged for the utilization of the information assets, and the processing unit of the information asset management device is configured to calculate the value allocation for the information assets using the utilization information, or the value assessment information and the utilization information, and to calculate the fee charged for the utilization of the information assets using the utilization information, or the value assessment information and the utilization information.

[0010] The information asset management method of the present invention is an information asset management method using an information processing device that has a storage device, an arithmetic processing device, and a communication device, and is used to manage the mutual sharing, utilization, value allocation, and compensation charged of information assets within a sharing scope agreed upon by a group of affiliated businesses, and into which the information asset and information regarding the information asset are input via the communication device from a terminal used to share and utilize the information assets, wherein the storage device of the information processing device holds the information asset and management information that includes value assessment information regarding the value of the information asset and utilization information that is information regarding the utilization of the information asset, and is for managing the mutual sharing, utilization and value allocation of the information asset, as well as the compensation charged for the utilization of the information asset, and the arithmetic processing device of the information processing device calculates the value allocation for the information asset using the utilization information, or the value assessment information and the utilization information, and calculates the compensation charged for the utilization of the information asset using the utilization information, or the value assessment information and the utilization information. Effect of the Invention

[0011] According to the present invention, it is possible to realize a series of distribution processes including recording the utilization status of shared information assets, evaluating the value of the information assets based on the recorded utilization information, and distributing and requesting compensation. Note that the effects described here are not necessarily limited to those described herein, and may be any of the effects described in this disclosure. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram showing an example of the system configuration according to the first embodiment. [Diagram 2] FIG. 2 is an explanatory diagram illustrating an example of the configuration of the consortium according to the first embodiment. [Diagram 3] FIG. 3 is a hardware configuration diagram showing an example of the configuration of the system according to the first embodiment. [Figure 4] FIG. 4 is a software configuration diagram showing an example of the system configuration of the first embodiment. [Diagram 5]FIG. 5 is an explanatory diagram illustrating an example of a data configuration of the information asset table according to the first embodiment. [Figure 6] FIG. 6 is an explanatory diagram illustrating an example of the data configuration of the utilization history table according to the first embodiment. [Figure 7] FIG. 7 is an explanatory diagram illustrating an example of a data configuration of the access permission table according to the first embodiment. [Figure 8] FIG. 8 is an explanatory diagram illustrating an example of a data configuration of the access authority holding status table according to the first embodiment. [Figure 9] FIG. 9 is an explanatory diagram illustrating an example of a data configuration of the value allocation table in the first embodiment. [Figure 10] FIG. 10 is an explanatory diagram illustrating an example of a data configuration of the consideration table according to the first embodiment. [Figure 11] FIG. 11 is an explanatory diagram illustrating an example of a processing flow of the system according to the first embodiment. [Figure 12A] FIG. 12A is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 12B] FIG. 12B is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 12C] FIG. 12C is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 13A] FIG. 13A is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 13B] FIG. 13B is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 13C] FIG. 13C is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 14A] FIG. 14A is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 14B] FIG. 14B is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 14C] FIG. 14C is an explanatory diagram illustrating an example of updating data in the first embodiment. [Figure 15] FIG. 15 is an explanatory diagram showing an example of a screen for confirming the utilization status of information assets according to the first embodiment. [Figure 16] FIG. 16 is an explanatory diagram showing an example of a screen for confirming the value allocation of information assets according to the first embodiment. [Figure 17] FIG. 17 is an explanatory diagram showing an example of a screen for confirming the amount claimed for utilization in the first embodiment. [Figure 18] FIG. 18 is an explanatory diagram showing an example of a screen for confirming details of the billed fee related to the utilization of the first embodiment. [Figure 19] FIG. 19 is an explanatory diagram illustrating an example of a data configuration of the reliability related information of the information asset table according to the third embodiment. [Figure 20] FIG. 20 is an explanatory diagram illustrating an example of a data configuration of the validity related information of the information asset table according to the third embodiment. [Figure 21] FIG. 21 is an explanatory diagram illustrating an example of a data configuration of rarity-related information in an information asset table according to the third embodiment. [Figure 22] FIG. 22 is an explanatory diagram illustrating an example of a data configuration of an information asset table according to the fourth embodiment. [Diagram 23] FIG. 23 is an explanatory diagram showing the difference between a genealogy information asset and a configuration information asset. [Figure 24] FIG. 24 is an explanatory diagram showing an example of a screen for confirming details of the utilization status of information assets according to the fourth embodiment. [Diagram 25] FIG. 25 is a software configuration diagram showing an example of the system configuration of the fifth embodiment. [Figure 26] FIG. 26 is an explanatory diagram of an example of a data configuration of an information asset table according to the fifth embodiment. [Figure 27] FIG. 27 is an explanatory diagram showing an example of the data structure of the reference table according to the fifth embodiment. [Figure 28] FIG. 28 is an explanatory diagram illustrating an example of a processing flow of the system according to the fifth embodiment. [Figure 29] FIG. 29 is a diagram showing an example of the system configuration according to the sixth embodiment. [Diagram 30] FIG. 30 is a hardware configuration diagram showing an example of the system configuration of the sixth embodiment. [Diagram 31] FIG. 31 is a software configuration diagram showing an example of the system configuration of the sixth embodiment. [Diagram 32] FIG. 32 is an explanatory diagram illustrating an example of a processing flow of the system according to the sixth embodiment. [Figure 33A]FIG. 33A is an explanatory diagram showing an example of a screen for confirming or paying the consideration in the sixth embodiment. [Figure 33B] FIG. 33B is an explanatory diagram showing an example of a screen for confirming or paying the consideration in the sixth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] The embodiments will be described in detail with reference to the drawings. However, the present invention should not be interpreted as being limited to the description of the embodiments shown below. It will be easily understood by those skilled in the art that the specific configuration can be changed without departing from the concept or purpose of the present invention.

[0014] In the configuration of the invention described below, the same parts or parts having similar functions are designated by the same reference numerals in different drawings, and duplicated explanations may be omitted. When there are multiple elements having the same or similar functions, they may be described with different subscripts added to the same reference numerals. However, when it is not necessary to distinguish between multiple elements, the subscripts may be omitted.

[0015] The designations "first," "second," "third," and the like in this specification are given to identify components, and do not necessarily limit the number, order, or content. Furthermore, numbers for identifying components are used in different contexts, and a number used in one context does not necessarily indicate the same configuration in another context. Furthermore, a component identified by a certain number does not prevent the component from also having the function of a component identified by another number.

[0016] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings, etc. may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings, etc.

[0017] In the following explanation, various information may be described using expressions such as "table" and "list", but the various information may be expressed in other data structures. To indicate independence of data structure, "XX table", "XX list", etc. may be referred to as "XX information". When describing identification information, when expressions such as "identification information", "identifier", "name", "ID", "number", etc. are used, these are interchangeable.

[0018] In addition, for various information in tables, etc., specific examples of data items and their classification into major items may be given to facilitate understanding of the invention, but the data items and major items are not necessarily limited to these, and reorganizing or integrating these does not prevent one or more data items or major items from being included in the table, etc. Similarly, in tables, etc. and related explanations, specific data examples and examples of how to obtain and calculate each data item may be given, but these do not limit the uses, configurations, aspects, calculation methods, etc. of the tables, data items, and major items.

[0019] In this specification, etc., the terms "partnership," "consortium," "subgroup," etc. may be used to describe an agreement, contract, or scheme relating to the sharing of information assets between multiple businesses, but the focus of the present invention is on multiple businesses sharing information assets with each other, and the legal basis, corporate form, and specific scheme on which it is based are not limited to these. Therefore, when the terms "consortium" and "subgroup" are used in this specification, etc., they mean the mutual sharing of information assets between multiple businesses, and are interchangeable with each other, including corporate alliances, joint ventures, joint venture companies, special purpose companies, special associations, and business alliances.

[0020] In this specification, the term "memory device" may be used to refer to both "main memory device" and "auxiliary memory device." In such cases, this means a device that stores or temporarily saves data or programs and serves as an information source when other devices in the computer read these, and does not mean that a new device is incorporated into the computer.

[0021] In this specification, expressions such as "utilization status" and "utilization information" may be used to describe the method and degree to which information assets are utilized, and these terms are interchangeable. Specific examples of these may include the reference or citation history of an information asset, and evaluations by users and the content of such evaluations, but the methods of utilizing information assets are not limited to these and may include, for example, licensing between businesses, purchase or resale, application to actual products, etc.

[0022] All publications, patents, and patent applications cited herein are hereby incorporated by reference in their entirety.

[0023] As used herein, elements referred to in the singular are intended to include the plural unless the context clearly indicates otherwise.

[0024] <<Example 1>> <Overall system configuration> 1 is an explanatory diagram showing an example of the configuration of a system to which the embodiment 1 is applied. This system includes a server terminal 100, a client terminal 200, and a network 900.

[0025] As an example of the installation of these terminals, in Fig. 1, the server terminal 100 is installed at the system management business 10, and the client terminal 200 is installed at a business 23 that is part of the affiliated business group 20. However, this does not prevent the server terminal 100 from being installed at the business 23.

[0026] A system management company 10 and a group of affiliated companies 20 may form a consortium 21 as shown in Fig. 2, for example after agreeing not to take information outside, and may further form subgroups 22 in which information assets are shared and utilized by theme. However, the formation of subgroups is not essential to implementing the present invention, and the scope of information assets shared is not necessarily limited to subgroups. In addition, when forming subgroups, there is no limitation to forming multiple subgroups, and the group of companies that make up the subgroups may be the same as the group of companies that make up the consortium.

[0027] In this embodiment, as an example of an embodiment, it is assumed that the scope of sharing of information assets is limited to subgroups, and for example, as shown in Figure 2, an embodiment is assumed in which the second operator 23-2 cannot share information assets shared by a third operator 23-3 in the second subgroup 22-2 in the first subgroup 22-1.

[0028] In the following embodiments and related drawings, for the sake of simplicity, the businesses shown in FIG. 2 may be described by replacing the "first business operator" with "Company A," the "second business operator" with "Company B," and the "third business operator" with "Company C."

[0029] 3 is a hardware configuration diagram showing an example of the configuration of a system to which the embodiment 1 is applied. The server terminal 100 and the client terminal 200 are capable of communicating with each other through a wired or wireless network 900, and are capable of exchanging data.

[0030] The server terminal 100 and the client terminal 200 are configured by a normal computer. The computer includes an input device 110 or 210, an output device 120 or 220, a CPU 130 or 230 consisting of a control device and an arithmetic device, a main memory device 140 or 240 such as a DRAM or SRAM for configuring data and programs, an auxiliary memory device 150 or 250 such as a HDD or SSD for storing data and programs, a communication device 160 or 260 including a network interface card (NIC) for communicating via a network 900, and a bus 170 or 270 for connecting these devices to each other and connecting the computer to peripheral devices. The output device 120 or 220 may include a display device for displaying an image (screen).

[0031] The CPU 130 or 230 refers to a device (arithmetic processing device) consisting of a control device and an arithmetic device that executes a program, and may be a processor including a GPU, etc. Furthermore, the configuration of the above information processing device is not limited to being configured as a single computer, and any part of the input device, output device, control device, arithmetic device, and storage device may be configured as another computer connected via a network.

[0032] FIG. 4 is a software configuration diagram showing an example of the configuration of a system to which the first embodiment is applied. The hardware for storing the software is the same as that shown in FIG. 3, and is therefore omitted here. The auxiliary storage device 150 stores an information asset table 151, a utilization history table 152, an access authority table 153, an access authority holding status table 154, a value allocation table 155, a consideration table 156, and program information 157. Information such as the information asset table 151, the utilization history table 152, the access authority table 153, the access authority holding status table 154, the value allocation table 155, and the consideration table 156 is management information for managing mutual sharing, utilization, and value allocation of information assets, as well as the charge for utilization of information assets. The information asset table 151 may also be referred to as "information asset management information", the utilization history table 152 may also be referred to as "utilization history information", and the value allocation table 155 and the consideration table 156 may also be referred to as "value allocation consideration management information". The main memory 140 reads and temporarily stores, from the program (Pg) information 157 stored in the auxiliary memory, an aggregation visualization Pg 141 that aggregates and / or visualizes information and updates various information in the storage device, a value evaluation Pg 142 that calculates the value evaluation of information assets and updates various information in the storage device, a value allocation calculation Pg 143 that calculates the value allocation to users and businesses and updates various information in the storage device, and a compensation calculation Pg 144 that calculates the compensation charged to users and businesses and updates various information in the storage device. The CPU 130 reads and executes these programs temporarily stored in the main memory device to realize various functions such as an aggregation visualization unit, a value evaluation unit, a value allocation calculation unit, and a compensation calculation unit.

[0033] <Data Structure> 5 is an explanatory diagram showing an example of the data configuration of the information asset table 151 of the system to which the embodiment 1 is applied. As an example, the information asset table 151 uses an information asset ID for identifying an information asset registered in the system as an index, and has basic information, rights information, utilization information, and value assessment information of the information asset as major items.

[0034] In Figure 5, examples of data items that make up each major category include an information asset ID and the data file of the information asset in basic information, a user ID and name of the creator of the information asset, the creation date of the information asset and the owner of the rights, etc. in rights information, the cumulative number of times the information asset has been referenced and cited in utilization information, and a user evaluation of whether the information asset is good or bad, as well as an evaluation score that represents the evaluation value of the information asset calculated based on these data items in value assessment information. Note that information that serves as the standard for evaluating the value of an information asset, such as user evaluation, is sometimes referred to as "value assessment standard information," and information that represents the value of an information asset, such as an evaluation score, is sometimes referred to as "value information."

[0035] In this specification, including FIG. 5, an extremely simplified calculation method for various scores is assumed as an example of an embodiment for making the invention easier to understand. It is assumed that the components of the evaluation score are only user evaluations as shown in FIG. 5, and the calculation method is equivalent to a total value obtained by subtracting the number of likes (dislikes) from the number of user evaluations (likes). On the other hand, the components and calculation method of the evaluation value and evaluation score are not limited to these, and each data item can be used in a different way. The same applies to the allocation score representing the value allocation and the consideration score representing the requested consideration, which will be described later.

[0036] In addition, in Fig. 5, for the sake of simplicity in the calculation example described later, the values ​​of the data items of utilization information and value assessment information are set to zero, assuming a state immediately after the system is made available to users within the consortium. The same state is also assumed in the data configuration examples of the access authority table 153, the access authority holding status table 154, the value allocation table 155, and the consideration table 156 shown in Figs. 7 to 10.

[0037] 6 is an explanatory diagram showing an example of a data configuration of the utilization history table 152 of the system to which the embodiment 1 is applied. As an example, the utilization history table 152 in the embodiment 1 uses a utilization history number for identifying the utilization history as an index, and has the following data items: the ID of the utilized information asset, the ID and name of the user who utilized the asset, the date and time of utilization, the details of utilization, and the ID of the newly generated information asset that is recorded when a new information asset is generated as a result of utilization.

[0038] For example, the data of utilization history number 221001121247001 in Figure 6 means that at 12:12:47 on October 1, 2022, Rokuro A, whose user ID is 0x···006, referenced information asset ia···001. Similarly, the data of utilization history number 221001131334001 means that at 13:13:34 on October 1, 2022, Ichiro C, whose user ID is 0x···011, referenced information asset ia···003 and generated a new information asset ia···098.

[0039] Fig. 7 is an explanatory diagram showing an example of a data configuration of the access permission table 153 of the system to which the first embodiment is applied. As an example, the access permission table 153 in the first embodiment uses an information asset ID as an index, and uses the subgroup having access permission to the information asset, the type of access permission, and the retention period as data items. Here, the subgroup having access permission and the type of access permission refer to an agreement that defines the sharing range of the information asset in Fig. 2, and in Fig. 7, for example, it means that the information asset ia··001 is shared only within the first subgroup, and the information asset ia··002 is shared only within the second subgroup.

[0040] 8 is an explanatory diagram showing an example of a data configuration of the access authority holding status table 154 of the system to which the embodiment 1 is applied. As an example, the access authority holding status table 154 in the embodiment 1 has data items indicating the presence or absence of authority for each of the user IDs for identifying users registered in the system, the name and affiliation of the user, and subgroups and types of access authority.

[0041] For example, in Figure 8, user A Ichiro, whose user ID is 0x...001, belongs to Company A. According to Figure 2, the first business represented by replacing Company A has access authority to the first subgroup, but not to the second subgroup. Therefore, in Figure 8, A Ichiro's access authority status for the first subgroup is 1, meaning that he has authority, and similarly, for the second subgroup it is 0.

[0042] In the case of the above data configuration example, a list of users who have access authority for each information asset can be created by referring to both the access authority table 153 shown in Fig. 7 and the access authority possession status table 154 shown in Fig. 8. That is, for example, according to Fig. 7, the second subgroup has access authority to the information asset ia··002, and according to Fig. 8, B Jiro and C Saburo have access authority to the second subgroup, so by combining this information, it is determined that, of the three users shown in Fig. 8, B Jiro and C Saburo have access authority to the information asset ia··002.

[0043] 9 is an explanatory diagram showing an example of a data configuration of the value allocation table 155 of the system to which the embodiment 1 is applied. As an example, the value allocation table 155 in the embodiment 1 has a user ID as an index, and has the ID and owner of an information asset generated by a user, information used for value allocation calculation such as utilization information and evaluation value of the information asset, and an allocation score indicating value allocation as data items.

[0044] 9, the utilization information and the evaluation value information are included as data items to facilitate tracing of the calculation process of the allocation score, and are not limited to including these data items, nor are they limited to including the same data items as those included in the information asset table 151. Furthermore, the value allocation per user and the value allocation per business entity for the information assets generated by each user can be calculated by referring to the value allocation table.

[0045] 10 is an explanatory diagram showing an example of a data configuration of the compensation table 156 of the system to which the embodiment 1 is applied. As an example, the compensation table 156 in the embodiment 1 has a user ID as an index, and has user information, information used for calculating the charged compensation such as utilization information for each subgroup and access authority type, and a compensation score indicating the charged compensation as data items.

[0046] Note that, unlike the evaluation scores in the information asset table 151 in Fig. 5 and the allocation scores in the value allocation table 155 in Fig. 9, the compensation scores in the compensation table 156 in Fig. 10 are assumed to be calculated in a two-step calculation method in which an aggregate value for each subgroup and type of access authority is calculated and then calculated based on these aggregate values. This is because sharing and utilization of information assets are performed within subgroups, etc., so that, for example, when calculating the compensation to be charged to A Ichiro in Fig. 10, the compensation for utilization made by A Ichiro for the information assets shared in the first subgroup and the compensation for utilization in the second subgroup are separately calculated.

[0047] <Calculation example> In the following, a calculation example of how to calculate the utilization information and evaluation score in the information asset table 151, the allocation score in the value allocation table 155, and the compensation score in the compensation table 156 will be explained with reference to the drawings.

[0048] First, the above tables are assumed to be the data items and data shown in Figures 5, 9, and 10, respectively. This represents a situation in which multiple information assets are registered in the system but have not yet been utilized, such as the state immediately after the system is made available to users within a consortium.

[0049] Here, it is assumed that utilization has been performed for utilization history number 221001121247001 recorded in the utilization history table of Fig. 6. In other words, it is assumed that A Rokuro, whose user ID is 0x···006, referenced information asset ia···001 at 12:12:47 on October 1, 2022. At this time, the client terminal 200 and server terminal 100 shown in Fig. 4 perform the processes of steps S1 to S3 shown in Fig. 11.

[0050] FIG. 11 is an explanatory diagram showing an example of a processing flow of a system to which the first embodiment is applied. In the information asset inquiry request in step S1, a request for inquiring about information assets and / or related information is sent from the client terminal 200 to the server terminal 100. However, in this calculation example, the content of the inquiry request accepted by the server terminal is not limited to the reference or aggregation of information assets, and may also include, for example, updating of the owner of information assets. Next, in the information asset inquiry in step S2, the server terminal 100 reads the storage device, executes the corresponding program and / or obtains data, composes the results of the request, adds the inquiry content to the utilization history table 152, and executes the aggregation visualization Pg141 of the main storage device in conjunction with the update of the utilization history table 152, the value evaluation Pg142, the value allocation calculation Pg143, and the compensation calculation Pg144, and updates various information accordingly. In the example of utilization history number 221001121247001, the CPU accesses the information asset table 151 in the auxiliary storage device, obtains information on information asset file 1.docx, adds the reference history to the utilization history table 152, and executes various programs temporarily stored in the main storage device to update various tables in the auxiliary storage device. Finally, in the return of results in step S3, the server terminal 100 transmits the constructed results to the client terminal 200.

[0051] When utilization history number 221001121247001 is utilized through the execution of these steps, various tables are updated from the data shown in Figures 5, 9, and 10 to those shown in Figures 12A to 12C. Figures 12A to 12C are explanatory diagrams showing an example of updating data in a system to which the first embodiment is applied, and show that after utilization of utilization history number 221001121247001, each table is updated to information asset table 151-1 in Figure 12A, value allocation table 155-1 in Figure 12B, and compensation table 156-1 in Figure 12C. However, some data items that can be omitted in explaining data updates are omitted in Figures 12A to 12C.

[0052] In the information asset table 151-1 in FIG. 12A, the number of times that the information asset ia···001 has been referenced has increased by 1 compared to FIG. 5. This is because A Rokuro has referenced the information asset once.

[0053] Next, in the value allocation table 155-1 of FIG. 12B, the cumulative number of references and the allocation score of A Ichiro, whose user ID is 0x···001, have increased by 1 and 0.1, respectively, compared to FIG. 9. The cumulative number of references has increased by 1 because the information asset ia···001 created by A Ichiro has been referenced once, in this case by A Rokuro. In addition, for the allocation score, an extremely simplified calculation method is assumed here in order to facilitate understanding of the present invention, and the total value of the cumulative number of references, the cumulative number of citations, and the evaluation score is multiplied by 0.1, so that the cumulative number of references has increased by 1, resulting in an increase in the allocation score by 0.1. However, this calculation example is merely an example of an embodiment for explaining that various information is updated with utilization, and the value evaluation and allocation of information assets and the charged price are updated, and is not limited to the calculation method and data update method described here. The same applies to other scores in this specification and the like. In addition, if A Ichiro has created other information assets and these were also referenced, a row for that information asset will be added to A Ichiro, the cumulative number of times that the asset has been referenced will be recorded, and the total value for those information assets will be entered into the allocation score.

[0054] Next, in the compensation table 156-1 of FIG. 12C, the cumulative utilization and compensation score of A Rokuro, whose user ID is 0x···006, in the first subgroup have each increased by 1 compared to FIG. 10. As for the cumulative utilization in the first subgroup, as described in FIG. 7, the cumulative utilization in the first subgroup of A Rokuro has increased by 1 because the information asset ia···001 is an information asset shared in the first subgroup. In addition, the compensation score assumes an extremely simplified calculation method similar to the allocation score, and is the sum of the cumulative utilization in the first and second subgroups. Therefore, the compensation score increases by 1 as the cumulative utilization in the first subgroup increases by 1. However, in this embodiment, as an example of a calculation method, a case where the billed compensation is calculated based on utilization information has been described, but the information used to calculate the billed compensation is not limited to utilization information, and can include value evaluation information, etc. For example, if value assessment information is also used to calculate the price to be charged, such logic would mean that if something of higher value is used, a higher price should be paid.

[0055] The allocation score, which indicates the value allocation, and the compensation score, which indicates the compensation to be claimed, are both parameters used for value management within the system, and are not limited to using the values ​​of these parameters directly as monetary amounts or equivalent values ​​when allocating value to the creator of information assets or charging compensation. Furthermore, these parameters are not limited to being converted into monetary amounts or monetary values ​​for use, and it is possible to use these parameters as reference indicators, for example, to prove the evaluation and achievements of an affiliated business operator or an expert inside or outside a consortium. In this case, the explanation in this specification does not prevent the addition of a function to issue certificates, etc. to the information asset management system proposed by the present invention.

[0056] With the above, various data and scores related to the utilization of utilization history number 221001121247001 are updated. Next, assume that utilization history numbers 221001130528001 and 221001130642001 listed in utilization history table 152 in FIG. 6 are utilized. In other words, assume that B Hachiro, whose user ID is 0x···008, refers to information asset ia···002 and performs a user evaluation of like for the information asset from 13:05:28 to 13:06:42 on October 1, 2022. At this time, the processing of steps S1 to S6 shown in FIG. 11 is performed.

[0057] In FIG. 11, the description of steps S1 to S3 is omitted since it is the same as above. In step S4, upon receiving the result of the inquiry, the user transmits the user evaluation of the information asset from the client terminal 200 to the server terminal 100. Next, in step S5, the server terminal 100 adds the received user evaluation content to the information asset table and the utilization history table, and executes the summary visualization Pg141 temporarily stored in the main storage device to update the data items related to the user evaluation in the various tables in the auxiliary storage device. In the example of utilization history numbers 221001130528001 and 221001130642001, the CPU accesses the information asset table stored in the auxiliary storage device, increments the user evaluation (like) of the information asset ia···002 by 1, adds the user evaluation content to the utilization history table, and executes the summary visualization Pg141 to update the various tables in the auxiliary storage device. Finally, in step S6, based on the information asset utilization information updated in steps S1 to S3 and the data items related to user evaluations in the various tables updated in steps S4 to S5, value evaluation Pg142, value distribution calculation Pg143, and compensation calculation Pg144 are executed to update the value evaluation, distribution, and compensation claims of the information assets, thereby updating various tables in the auxiliary storage device.

[0058] Figures 13A to 13C are explanatory diagrams showing an example of data updates in a system to which Example 1 is applied, and represent the state after the data in various tables has been updated from the state described in Figures 12A to 12C through utilization of utilization history numbers 221001130528001 and 221001130642001.

[0059] 13A to 13C, the general flow of data updates is the same as that in FIGS. 12A to 12C. The difference is that in the information asset table 151-2 of FIG. 13A, the user rating (like) of the information asset ia···002 increases by 1, and accordingly the rating score also increases by 1, and in the allocation table 155-2 of FIG. 13B, the rating score also increases by 1, and the allocation score increases to 0.2 taking into account the cumulative number of times referenced and the increment in the rating score.

[0060] With the above, various data and scores related to the utilization of utilization history numbers 221001130528001 and 221001130642001 are updated once. Next, assume that utilization history number 221001131334001 listed in utilization history table 152 in FIG. 6 is utilized. In other words, assume that C Ichiro, whose user ID is 0x···011, generates a new information asset ia···098 by citing information asset ia···003 on October 1, 2022 at 13:13:34. At this time, the processing of steps S1 to S3 and S7 to S10 shown in FIG. 11 is performed.

[0061] In FIG. 11, the description of steps S1 to S3 is omitted since they have been described above. In step S7, the client terminal 200 transmits an application to register a new information asset to the server terminal 100, citing the result of the inquiry returned in step S3. Next, in step S8, the server terminal 100 accesses the auxiliary storage device based on the received application, adds the application contents to the utilization history table, and registers the information asset in the information asset table. In the example of utilization history number 221001131334001, the CPU temporarily stores the received application contents in the main storage device, adds the temporarily stored contents to the utilization history table in the auxiliary storage device, accesses the information asset table, and adds a data row to the end of the table based on the temporarily stored application contents. Next, in step S9, based on the citation source information described in the application contents, utilization information is updated in various tables in the auxiliary storage device for the citation source information of the information asset. Finally, in step S10, various programs temporarily stored in the main memory are executed to calculate the value of the information assets, and distribution and compensation claims are made based on the information asset utilization information updated in steps S1 to S3 and steps S7 to S9, and various tables in the auxiliary memory are updated.

[0062] In addition, when simply registering a new information asset rather than citing an information asset, the process follows the process flow of steps S7 and S8, except for updating the utilization information of the source information asset.

[0063] Figures 14A to 14C are explanatory diagrams showing an example of data updates in a system to which Example 1 is applied, and represent the state after the data in various tables has been updated through utilization of utilization history number 221001131334001 from the state described in Figures 13A to 13C.

[0064] 14A to 14C, the general flow of data updates is the same as in Figures 12A to 12C, with the only differences being that a data row for information asset ia··098 has been added to information asset table 151-3 in Figure 14A, the number of times that information asset ia··003 has been cited has increased by 1, and the cumulative number of times that it has been cited has also increased by 1 in value allocation table 156-3 in Figure 14C. This completes the update of the various data and scores related to the utilization of utilization history number 221001131334001.

[0065] <Screen example> Below, examples of screens when a user checks the utilization status of the information assets he / she has generated, the value allocation to him / herself, and the fee claimed will be explained using figures. Note that, in order to make the invention easier to understand and to improve the readability of the data, it is assumed that time has passed since the situation assumed in the above calculation example and the utilization of information assets has progressed. However, the calculation method of various scores follows the extremely simplified method exemplified in the calculation example, but the calculation method of various scores and other data configurations, etc. are not limited to the contents of the following explanation. The screen example is, for example, an example of an image (screen) displayed on a display device.

[0066] In the following, it is assumed that an embodiment is adopted in which value allocation and billing consideration are collected and distributed or collected at regular intervals. In order to improve the readability of the screen display, after the implementation of the distribution or collection, various scores and utilization information before the distribution / collection that is the basis of their values ​​are backed up and then reset for display and calculation purposes. In the following screen examples, it is assumed that an embodiment is adopted in which billing consideration information up to that point is reset after distribution / collection.

[0067] In addition, the billing of the fee for utilization is not limited to each individual user, but an embodiment is also possible in which the fee is totaled for each user's affiliation and billed to the business operator. In the following, it is assumed that this embodiment is adopted.

[0068] FIG. 15 is an explanatory diagram showing an example of a screen for checking the utilization status of information assets in a system to which the first embodiment is applied. In the upper right corner of the screen, there is a section 221-1 that displays the name and affiliation of the logged-in user, and on the left, a graph 221-2 is displayed showing the trend of the total utilization value aggregated for all information assets generated by the logged-in user. This graph allows the granularity of the aggregation of utilization information to be displayed to be selected. As an example, in FIG. 15, a series of pull-down items 221-3 above the graph is selected to aggregate the trend of the total value of all utilized items such as the number of times referenced and the number of times cited for all information assets generated by the logged-in user on a weekly basis from September 1, 2023 to December 31, 2023, and in the lower left, an additional chart is displayed showing the trend of the value of each utilized item such as the number of times referenced and the number of times cited for a single information asset on a daily basis from October 16, 2023 to November 13, 2023.

[0069] The process flow for displaying these graphs on the client terminal corresponds to steps S1 to S3 in Fig. 11. That is, in step S1, the client terminal 200 sends an inquiry request regarding the aggregation of information assets to the server terminal 100, and in step S2, the CPU of the server terminal 100 executes the aggregation visualization Pg141 temporarily stored in the main storage device to aggregate data from the auxiliary storage device, and in step S3, returns the aggregation result to the client terminal 100. The same applies to other screen examples in this specification and the like.

[0070] Fig. 16 is an explanatory diagram showing an example of a screen for confirming the value allocation of information assets in the system to which the first embodiment is applied. The basic screen configuration is the same as that of Fig. 15, so a description thereof will be omitted. On this screen, a graph 222-1 is displayed showing the transition of value allocation to the logged-in user, which is calculated for all information assets generated by the logged-in user. In the calculation method selection section 222-2, this graph allows the user to select whether to reset and display the data up to that point after the value allocation, how coarse the granularity of the calculation is to be, such as weekly or daily, and the calculation period, etc.

[0071] FIG. 17 is an explanatory diagram showing an example of a screen for confirming the invoiced fee for the utilization of the system to which the first embodiment is applied. The basic screen configuration is the same as that of FIG. 15, and therefore the explanation is omitted. FIG. 17 shows an example of a screen when an administrator of a certain business entity confirms the fee to be invoiced to the business entity, on the assumption that an embodiment has been adopted in which the fee for the utilization is not sent to individuals but is aggregated and invoiced to the business entity. When displaying the graph 223-1, the aggregation method selection unit 223-2 can select whether to reset the data up to that point after the fee is collected, whether the granularity of the aggregation is weekly or daily, and the aggregation period, etc.

[0072] FIG. 18 is an explanatory diagram showing an example of a screen for confirming details of the billed fee related to the utilization of the system to which the first embodiment is applied. The basic screen configuration is the same as that of FIG. 15, and therefore is omitted. FIG. 18 shows an example of a screen in which an administrator of a certain company performs three aggregations 224-1, 224-2, and 224-3 to analyze the data on which the fee is billed to the company. The billed fee occurs when a user belonging to the company utilizes an information asset on the system, so in the first aggregation 224-1, the information asset table is filtered by the reference date and time of the information asset, and which user referenced which information asset to what extent. In the second aggregation 224-2, in addition to filtering the fee table by the reference date and time of the information asset, only the fee billed to users belonging to Company A is displayed in the display filter 224-4 in the upper right of the table. In the third aggregation 224-3, in addition to the second aggregation, an aggregation is performed to calculate the total value of the billed fee for users belonging to Company A, and a total value of 832 is obtained. As shown below the totaled values ​​in FIG. 18, there may be a group of buttons 224-5 for taking further actions, such as a button for outputting the totaling process or results in PDF or CSV format, or a button for connecting to a payment system using money or points, etc., and moving to a screen for making payments.

[0073] <Effects> According to the system of the first embodiment described above, by recording utilization information, it is possible to realize a series of distribution processes including valuation, distribution, and payment for information assets based on a clear and fair basis, namely utilization track record.

[0074] Furthermore, according to the system of the first embodiment, the creator of the information asset can have a greater opportunity to receive value sharing for the information asset that has been more fully utilized.

[0075] Furthermore, according to the system of the first embodiment, a business can motivate employees to generate information assets that are expected to be better utilized.

[0076] Moreover, the system according to the first embodiment can be used in such a way that the business operator also receives value distribution for utilization, which enables the business operator to acquire a new source of revenue.

[0077] <<Example 2>> In this embodiment, an embodiment of the present invention will be described in which the information assets shared among multiple businesses are limited to OT knowledge, which is information related to the control, operation, and maintenance of facilities, networks, systems, equipment, devices, products, and parts. Note that this embodiment differs from embodiment 1 only in that the target information assets are limited to OT knowledge, and the system configuration, data configuration, and the like are roughly similar to embodiment 1, so descriptions of these will be omitted.

[0078] The definition of OT knowledge is as stated above, and specific examples include maintenance information on facilities, networks, systems, equipment, devices, products and parts, manufacturing information, historical information of maintenance / manufacturing workers, maintenance and operation procedures and manuals, accident / failure cases, fault detection / operation analysis logic, collections of know-how, best practices and improvement suggestions.

[0079] A distinctive feature of OT knowledge compared to general information assets is that it is an information asset that is generated and utilized at the control, operation, and maintenance sites of facilities, etc., so that the facilities, etc. can continue to safely and stably perform the expected functions, performance, output, etc. for the expected period of time. In other words, compared to general information assets, the reliability and validity of OT knowledge are highly emphasized when evaluating its value. In addition, considering that multiple businesses share OT knowledge with each other, the rarity of the shared OT knowledge is also important. Here, in this specification, the validity of OT knowledge refers to the extent to which the expected functions, performance, output, etc. can be achieved by applying OT knowledge to facilities, etc., and reliability refers to the frequency and probability of how likely the achieved functions, performance, output, etc. can be reproduced, and if reproduced, how long it can be maintained and how stably it will continue to be performed. In addition, the rarity of OT knowledge refers to how difficult it is to find similar OT knowledge, or how difficult it is to find similar OT knowledge that is valid and reliable. However, these are explanations of examples of perspectives that are emphasized in evaluating the value of OT knowledge, and do not limit the definition of OT knowledge itself or its specific examples in any way.

[0080] <<Example 3>> In this embodiment, the information assets mutually shared among multiple businesses are limited to OT knowledge, and the value evaluation information of the OT knowledge includes information related to the reliability, validity, and rarity of the OT knowledge, the reliability related information includes the implementation record of the assets targeted by the OT knowledge and information on the OT knowledge constituting the OT knowledge, the validity related information includes information related to the age or expiration date of the OT knowledge and user evaluation of the OT knowledge, and the rarity related information includes information related to similar OT knowledge. An embodiment of the present invention will be described with reference to the drawings. Note that each of the reliability related information, validity related information, and rarity related information may also be referred to as "value evaluation standard information."

[0081] Here, the assets covered by OT knowledge refer to facilities, networks, systems, equipment, devices, products, parts, etc. that are covered by the OT knowledge. The implementation track record of the assets covered by OT knowledge refers to information expressing whether the assets are in the stage of research and development or concept demonstration, etc., or whether they have already been implemented in practice and confirmed to be operational. The OT knowledge that constitutes OT knowledge refers to the OT knowledge that serves as a source that partially constitutes the content of the OT knowledge, such as the reference source, citation source, or excerpt source when a certain OT knowledge was created. The reason why constituent OT knowledge is included in reliability-related information is based on the viewpoint that if OT knowledge B is created by quoting OT knowledge A, that is, if B's ​​constituent OT knowledge is A, it is natural to evaluate the reliability of B as low if A is low-reliability information. The expiration date of OT knowledge is information that expresses a situation in which OT knowledge is no longer referenced due to the creation of more valid OT knowledge against the backdrop of technological advances, or the asset that the OT knowledge covers reaches the end of its product life cycle, in other words, the OT knowledge becomes invalid when production or manufacturing is discontinued.Similar OT knowledge refers to OT knowledge with similar content to the OT knowledge in question, and includes not only OT knowledge with similar content related to the same target asset as the OT knowledge in question, but also OT knowledge related to a different target asset that deals with similar mechanisms, principles, or usage methods.

[0082] The only difference between this embodiment and embodiment 2 is that data items of value assessment information have been added and reorganized, and the system configuration and the like are roughly similar to embodiment 1, so some of the description will be omitted. Also, in this embodiment, information assets are limited to OT knowledge, and in the following explanation including drawings, information assets and OT knowledge may be described as mutually interchangeable without distinction.

[0083] <Data Structure> Fig. 19 is an explanatory diagram showing an example of the data configuration of reliability-related information of the information asset table 151 of the system to which the third embodiment is applied. The information asset table 151-4 in the third embodiment is omitted because the major data items are similar to those of the information asset table 151 in Fig. 5. The value assessment information, which is the difference from Fig. 5, can include, for example, the number of implementation sites and the names and model numbers of the implementation sites as information on the implementation record, the number of configuration information assets as information on the configuration information assets, the IDs of the configuration information assets, the ratio of the information volume and quality of each configuration information asset to the information assets, the reliability score for each configuration information asset, and the aggregated value of the reliability score for each configuration information asset, and the reliability score as data items.

[0084] Here, the aggregated value of the reliability score for each configuration information asset is calculated by multiplying the configuration ratio of each configuration information asset by each reliability score and adding them up, for example, for information asset ia··001, it is calculated as 0.05×4.1+4.6×0.1+0.05×4.2. Also, as an example, the reliability score is calculated by adding 1 to the aggregated configuration information asset score and multiplying it by the number of implementation destinations, for example, for information asset ia··001, it is calculated as (0.875+1)×10. However, in this embodiment, as in the first embodiment, in order to make the invention easy to understand, the calculation methods of the data items and various scores are extremely simplified, and the data items and calculation methods used for these calculations are not limited to those described in this embodiment, as in the first embodiment.

[0085] FIG. 20 is an explanatory diagram showing an example of the data configuration of the validity-related information of the information asset table 151 in the third embodiment. In the information asset table 151-5 in the third embodiment, some major items of the information asset table are omitted as in FIG. 19. The value assessment information, which is the difference from FIG. 5, includes, for example, the number of references in the last year as information on the expiration date, and the date on which the target asset of the OT knowledge was discontinued. As an example of a method of acquiring these data items, the number of references in the last year of the OT knowledge is acquired by executing the summary visualization Pg141 and summarizing the utilization history table 152, and the production end date of the target asset is acquired by investigating and inputting, or by performing a web search using artificial intelligence. However, these data items and the acquisition method thereof are merely examples, and the data items related to the expiration date of the OT knowledge, and the acquisition and calculation methods, etc. are not limited to these.

[0086] The value assessment information also includes information on user evaluation, and a validity score that expresses the validity of the OT knowledge calculated using the above data, as in Fig. 5. As an example, the validity score is calculated by multiplying the total value of the number of references in the past year and the user evaluation (total) by zero if the production end date of the target asset has been entered, or by one if it has not been entered.

[0087] FIG. 21 is an explanatory diagram showing an example of the data configuration of rarity-related information of the information asset table 151 in the third embodiment. In the information asset table 151-6 in the third embodiment, some major items of the information asset table are omitted as in FIG. 19. The value assessment information, which is the difference from FIG. 5, includes, for example, the number of similar information assets as information on similar information assets, similar information assets, and a rarity score that indicates the rarity of OT knowledge. Examples of methods for discriminating similar information assets include human discrimination and a method that utilizes an evaluation of the similarity between documents by artificial intelligence. In addition, as an example of a method for calculating a rarity score, a method of multiplying the reciprocal of a similar information asset by 100 is exemplified here. However, these data items and the methods of acquiring and calculating the data thereof are merely examples, and the data items related to similar OT knowledge, and the methods of acquiring and calculating the data are not limited to these.

[0088] Although not shown in Fig. 19 to Fig. 21, an evaluation score representing the value evaluation of OT knowledge can be calculated based on the various scores calculated above. As an example of the calculation method, the evaluation score may be set to the average value of the reliability score, the validity score, and the rarity score. The process flow related to the calculation corresponds to step S10 in Fig. 11 in the first embodiment.

[0089] <<Example 4>> In this embodiment, the information assets shared among multiple businesses are not limited to OT knowledge, and the embodiment of the present invention is described with reference to the past, the past citations, and information on genealogy information assets are included as information asset utilization information. Note that the only difference between this embodiment and the first embodiment is that the above utilization information is added to the utilization information. The system configuration is roughly the same as the first embodiment, so some of the description is omitted.

[0090] <Data Structure> FIG. 22 is an explanatory diagram showing an example of the data configuration of the information asset table 151 of the system to which the fourth embodiment is applied. Some major items are omitted in the information asset table 151-7. The utilization information, which is the difference from FIG. 5 of the first embodiment, includes the number of genealogy information assets. The genealogy information asset refers to a set of a series of information assets that continue from the source of a quote or excerpt of a certain information asset, and the source of those, and the source of those. In other words, it is a set of information assets that finally reach the information asset by tracing back the source of the quote or excerpt. To obtain the genealogy information asset, for example, a method of aggregating the newly generated information assets in the utilization history table 152 in FIG. 6 is considered. In the example of FIG. 6, since the source of the quote of the information asset ai··098 is the information asset ai··003, it can be seen that one of the genealogy assets of the information asset ai··003 includes the information asset ai··098. As a processing flow for executing these, it is assumed that the CPU executes the aggregation visualization Pg141 temporarily stored in the main memory device and aggregates the data from the auxiliary memory device.

[0091] In this embodiment and embodiment 3, data items such as genealogy information assets and constituent information assets are exemplified. Genealogy information assets are information for measuring the utilization of information assets, and constituent information assets are information for measuring the evaluation value, particularly reliability, of information assets.

[0092] FIG. 23 is an explanatory diagram showing the difference between genealogy information assets and constituent information assets. In FIG. 23, A to H are information assets, and the arrow indicates that the information asset at the starting point was generated by quoting or extracting the information asset at the end point. Here, let us assume that B was generated by quoting A. Next, let us assume that information assets C and D were newly generated by quoting B, and that E, F, G, and H were generated by quoting them as shown in FIG. 23. In this case, C and D are taken into account in the citation record of B, but in addition, it is natural to evaluate the large number of derived information assets E, F, G, and H, and these C to H are collectively expressed as the genealogy information assets of B. On the other hand, when focusing on B and A again, if B cites A, it is natural to evaluate the reliability of B low if A is a low-reliability information asset. On the other hand, even if A's reliability is low, if the ratio of A's information to B's information is minor, it can be considered that B's reliability is not significantly damaged. In this way, source A is expressed as a constituent asset of source B, and the proportion it accounts for in terms of quality and quantity of information is expressed as the constituent ratio.

[0093] <Screen example> By aggregating and visualizing genealogy information assets, the relationship between information assets may become clear. FIG. 24 is an explanatory diagram showing an example of a screen for confirming details of the utilization status of information assets in a system to which the fourth embodiment is applied. The basic screen configuration is the same as that of FIG. 15, so the description is omitted. In FIG. 24, as an example, visualization of genealogy information assets is performed by combining two aggregations 225-1 and 225-3. In aggregation 225-1, information asset ia···001 is selected as the information asset of interest, and a list of genealogy information assets is extracted from the information asset table 151 and displayed in table 225-2. Next, in aggregation 225-3, for each extracted information asset, that is, for information assets ia···006 to ia···091 in table 225-2, information assets that were directly cited when each information asset was created are extracted, and table 225-4 is displayed in which information on the genealogy of the information assets is aggregated. FIG. 24 shows a function for visualizing the tabulation results in a chart. Pressing the button in question makes it possible to visualize genealogy information assets in a graph structure such as chart 225-5.

[0094] <<Example 5>> In this embodiment, the information assets shared among multiple businesses are limited to OT knowledge, the CPU functions as an AI management unit that uses artificial intelligence to generate responses to inquiries received at a server terminal, and a storage device stores an inquiry table in which the answers returned to inquiries, the OT knowledge information referenced by the artificial intelligence when generating the answers, the user evaluations of the answers, and the OT knowledge information generated by referring to or quoting the answers are associated with each other. An embodiment of the present invention will be described with reference to the drawings. Note that in this embodiment, the information assets are limited to OT knowledge, and in the following description including the drawings, the information assets and OT knowledge may be described as interchangeable without distinction.

[0095] There are at least three advantages to using artificial intelligence to generate answers to inquiries about OT knowledge. The first is due to the high level of confidentiality, which is a characteristic of OT knowledge. The use of artificial intelligence, which can extract the key points of OT knowledge and generate answers to inquirers without disclosing all of the original OT knowledge, is suitable for the mutual sharing of OT knowledge among multiple businesses in that it is possible to provide information without disclosing all of the original OT knowledge. However, this does not mean that the original must be kept secret when sharing OT knowledge, but rather that providing such an option may make it easier to promote the mutual sharing of OT knowledge among multiple businesses. The second is due to the high level of site-specificity, which is a characteristic of OT knowledge. Since OT knowledge often contains abbreviations and phrases specific to businesses and sites, it is expected that OT knowledge that is not included in the search results of users at other businesses or sites will frequently appear in conventional keyword searches. In this respect, the large-scale language model cited as an example of the above artificial intelligence collects reference information and generates answers based on the similarity between documents, so it is expected to be relatively less affected by differences in terminology and wording, and is suitable for mutual sharing of OT knowledge among multiple businesses. The third reason is due to the high site specificity that is a characteristic of OT knowledge, as in the second reason, and it is expected that even if the intended search results are displayed in a conventional keyword search, the content will be frequently indecipherable. In this respect, as in the above, for example, an interactive large-scale language model can be used to interactively dig deep into unclear points and make inquiries, so that readability can be relatively improved even in situations where there are differences in terminology and wording between users, and is suitable for mutual sharing of OT knowledge among multiple businesses. However, these advantages are given as examples, and do not prevent the use of artificial intelligence in the present invention for purposes other than those described above, such as data analysis.

[0096] <Overall system configuration> Fig. 25 is a software configuration diagram showing an example of the configuration of a system to which the fifth embodiment is applied. The hardware for storing the software is the same as that shown in Fig. 3 of the first embodiment, and therefore a description thereof will be omitted here. The software configuration is roughly the same as that shown in Fig. 4, and the only difference from Fig. 4 is that an AI management Pg145 that uses artificial intelligence to generate responses to received inquiries is added to the program temporarily stored in the main storage device, and an inquiry table 158 is added to the auxiliary storage device.

[0097] <Data Structure> FIG. 26 is an explanatory diagram showing an example of the data configuration of the information asset table 151 of the system to which the fifth embodiment is applied. The information asset table 151-8 in the fifth embodiment is omitted in part because the major data items are similar to those of the information asset table 151 in FIG. 5. The difference from FIG. 5 is that the data of the converted information asset file is stored for the artificial intelligence to refer to when generating an answer. This is because, when performing natural language processing, the artificial intelligence vectorizes and processes the document. However, the inclusion of this data item does not limit the content of the OT knowledge handled in this embodiment, the artificial intelligence to be utilized, and the method of utilization thereof. Since the above vectorization conversion can be performed by the artificial intelligence, the conversion is performed by executing the AI ​​management Pg145 in this embodiment.

[0098] 27 is an explanatory diagram showing an example of a data configuration of the inquiry table 158 of the system to which the embodiment 5 is applied. As an example, the inquiry table 158 in the embodiment 5 uses an inquiry ID for identifying an inquiry history as an index, and has the following data items: the ID of the user who made the inquiry, the date and time of the inquiry, the inquiry content, the answer content, the ID of the OT knowledge referenced by the artificial intelligence when generating the answer, the user evaluation of the answer from the user, and if new OT knowledge is generated based on the answer or its amendment, the ID of the OT knowledge.

[0099] For example, the data with a query ID of 221001131334001 in Figure 27 means that a user with user ID 0x···011 made a query at 13:13:34 on October 1, 2022, the artificial intelligence generated an answer by referring to OT knowledge ia···003, and the user registered the answer as new OT knowledge ia···098.

[0100] <Calculation example> The following describes, with reference to figures, how the converted information asset data in information asset table 151-8 in Fig. 26 and each data item in reference table 158 in Fig. 27 are calculated and acquired. However, as with the other embodiments, the data configuration and calculation method described in this embodiment are merely examples, and the embodiment is not necessarily limited to these, nor does it preclude implementation with different data configurations and calculation methods.

[0101] Fig. 28 is an explanatory diagram showing an example of a processing flow of the system to which the fifth embodiment is applied. The processing flow is roughly divided into three stages: a part for generating an answer to a query by artificial intelligence, a part for assigning a user evaluation of the answer to a user evaluation of an information asset, and a part for registering the answer and its amendment as new OT knowledge based on a request from a user.

[0102] 28, first, step S7 similar to that in Fig. 11 for accepting an OT knowledge registration application from the client terminal 200, step S8 similar to that in Fig. 11 for registering the OT knowledge in the server terminal 100, and step S11 for data converting the file and adding the converted file are performed. In step S11, the AI ​​management Pg145 temporarily stored in the main storage device is executed to data convert the OT knowledge file temporarily stored in the main storage device in step S8, and the converted data is added to the information asset table in the auxiliary storage device.

[0103] 11, where an inquiry request for OT knowledge is received from the client terminal 200, step S12 where the received inquiry content is converted into data, step S13 where the data-converted inquiry content is compared with the data-converted OT knowledge registered in the information asset table 151 to extract OT knowledge with high similarity, step S14 where an answer is generated based on the extracted OT knowledge, step S15 where the answer is returned, step S16 where utilization information such as reference records is updated for the OT knowledge extracted in step S13, and step S17 where the information on the inquiry received in step S1 is added to the inquiry table 158. In steps S12 to S14, the AI ​​management Pg145 temporarily stored in the main storage device is executed to convert the inquiry content temporarily stored in the main storage device, and OT knowledge is extracted from the information asset table in the auxiliary storage device based on the data-converted inquiry content and temporarily stored in the main storage device, and an answer is generated based on it. In step S15, the server terminal 100 returns a response to the client terminal 200 via the communication device and the network 900. In step S16, the summary visualization Pg141 is executed to update the utilization information in various tables for each OT knowledge temporarily stored in the main storage device in step S13. In step S17, the summary visualization Pg141 is executed to add the query history to the query table 158 based on the query information temporarily stored in the main storage device.

[0104] Next, step S18 is performed to receive a user evaluation for the answer from the client terminal 200, step S19 is performed to update the machine learning model of the artificial intelligence based on the user evaluation in step S18, step S20 is performed to assign the user evaluation in step S18 to the user evaluation for the OT knowledge, and step S21 is performed to add the user evaluation received in step S18 to various tables. In step S18, the user evaluation for the answer is temporarily stored in the main storage device. In step S19, the AI ​​management Pg145 is executed to share the user evaluation in step S18 temporarily stored in the main storage device with the artificial intelligence, and the machine learning model is updated. In step S20, the tally visualization Pg141 is executed to perform a calculation to assign the user evaluation temporarily stored in step S18 to the user evaluation for the OT knowledge for each OT knowledge temporarily stored in step S13, and the user evaluation for the OT knowledge is updated in various tables. In step S21, the tally visualization Pg141 is executed to add the user evaluation in step S18 to various tables.

[0105] In step S20, examples of the calculation method for allocating the evaluation of the AI ​​answer to the evaluation of the OT knowledge include apportionment and weighted averaging. For example, if there are two pieces of OT knowledge extracted in step S13 and the user evaluation of the answer generated by referring to these pieces of OT knowledge is "like," a calculation method may be to divide the user evaluation by 2, which is the number of pieces of OT knowledge referred to, and add 0.5 to the user evaluation (like) in the information asset table 151 of each piece of referred OT knowledge. In weighted averaging, for example, a method may be used in which the OT knowledge referred to when generating the answer is weighted according to the degree of the amount of information reflected in the answer.

[0106] Finally, step S22 is performed to receive an application to register the answer or its amendment as new OT knowledge from the client terminal 200, step S8 is an OT knowledge registration process in the server terminal 100, which is omitted but performed in the flow, step S23 is a data conversion of the registered OT knowledge and adding the converted OT knowledge, and step S24 is a step to update the utilization information in various tables in response to the answer being registered as new OT knowledge. In step S22, the received application is temporarily stored in the main storage device. In step S8, the OT knowledge is added to the information asset table 151 as shown in FIG. 11. In step S23, the AI ​​management Pg145 temporarily stored in the main storage device is executed to convert the application content temporarily stored in the main storage device in step S22, and the converted data is added to the information asset table in the auxiliary storage device. Finally, in step S24, the aggregation visualization Pg141 is executed to add the update of the utilization information related to the addition of the new OT knowledge by referring to the OT knowledge to various tables.

[0107] <<Example 6>> In this embodiment, the information assets mutually shared among multiple businesses are not limited to OT knowledge, and the CPU functions as a blockchain management unit that generates transactions for the blockchain, a metadata generation unit that generates metadata linked to tokens, and a hash value generation unit that hashes the contents of the information assets, and a metadata table that stores metadata is stored in a storage device. An embodiment of the present invention will be described with reference to the drawings.

[0108] Here, in this embodiment, it is assumed that blockchain technology will be utilized in two ways. The first is a method of managing and distributing information assets as digital assets, which are digital assets, through the issuance of non-fungible tokens (NFTs) linked to the information assets. The second is a method of issuing and distributing fungible tokens (FTs) that have unique value on the system, and distributing value and requesting payment through FTs.

[0109] One advantage of managing information assets using blockchain when sharing them among multiple businesses is that it ensures the authenticity of the content. When sharing information assets among multiple businesses, there are a wide range of stakeholders, and it is assumed that there are potentially all kinds of conflicts of interest, so it is extremely important that the information assets cannot be tampered with and their authenticity is guaranteed. In this respect, managing and circulating information assets as NFTs is suitable for sharing information assets among multiple businesses.

[0110] <Overall system configuration> FIG. 29 is an explanatory diagram showing a configuration example of a system to which the sixth embodiment is applied. This system includes a server terminal 100, a client terminal 200, a blockchain terminal 300 constituting the blockchain 30, and a network 900. The server terminal 100, the client terminal 200, and the network 900 are the same as those in FIG. 1, so their explanations are omitted. Although the blockchain 30 is described in a simplified manner, it is generally composed of multiple servers without a specific administrator and personal computers called nodes. In this specification, these servers and nodes are collectively referred to as blockchain terminals.

[0111] FIG. 30 is a hardware configuration diagram showing a configuration example of a system to which the sixth embodiment is applied. The server terminal 100, the client terminal 200, and the network 900 are the same as those in FIG. 1, and therefore their explanations are omitted. The blockchain terminal 300 is configured from a normal computer, similar to the server terminal 100 and the client terminal 200 described in the first embodiment, and therefore the explanations of each device constituting the blockchain terminal 300 are omitted. Note that the blockchain terminal 300 may be configured as an information processing device using a single computer, or any part of the input device, output device, processor such as a CPU, main storage device, and auxiliary storage device may be configured from other computers connected via a network, and does not prevent the terminal 300 from being configured from hardware such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC).

[0112] Functionally, a blockchain stores a continuously growing list of ordered records called blocks. Each block contains a timestamp and a link to the previous block. As the concept of blockchain is known, each block can be guaranteed to be tamper-proof by tracing it back through the chain.

[0113] FIG. 31 is a software configuration diagram showing an example of the configuration of a system to which the sixth embodiment is applied. The server terminal 100 and the client terminal 200 have roughly the same configuration as in FIG. 4, so the overlapping parts are omitted. The difference from FIG. 4 is that the server terminal includes a blockchain management Pg146 that generates transactions to the blockchain in a program temporarily stored in the main storage device, a metadata generation Pg147 that generates metadata associated with a token, and a hash value generation Pg148 that generates a hash value. In addition, a characteristic part of the blockchain terminal compared to a normal computer is that the auxiliary storage device includes hash information 351 that records the hash value sent from the server terminal 100 as a blockchain, and an access permission table 352 that stores access permissions in the blockchain. However, in this embodiment, since the formation of a consortium and a subgroup is assumed as in the first embodiment, the use of a private blockchain is assumed, but these explanations do not limit the embodiment of the present invention to a private blockchain, and the inclusion of the access permission table 352 as a function example does not prevent the use of a public blockchain.

[0114] 32 is an explanatory diagram showing an example of a processing flow of a system to which the sixth embodiment is applied. The processing flow is roughly divided into three stages: a part for issuing an NFT in response to registration of an information asset, a part for updating the ownership of the NFT in response to the transfer of the ownership of the information asset, and a part for allocating value and paying or collecting the consideration.

[0115] In FIG. 32, first, step S7 similar to FIG. 11 is performed to accept an OT knowledge registration application from the client terminal 200, step S8 similar to FIG. 11 is performed to register the OT knowledge in the server terminal 100, and step S25 is performed to hash the file, include it in a transaction to issue an NFT together with related information, and send it to the blockchain. Steps S7 and S8 are roughly the same as in FIG. 11, so their explanations are omitted. In step S25, hash value generation Pg148 is performed, and the hash value of the information asset data temporarily stored in the main storage device in step S7 is calculated, and then metadata generation Pg147 is performed to generate metadata, and blockchain management Pg146 is performed to generate a transaction including the hash value and metadata and send it to the blockchain.

[0116] Next, step S26 is performed to accept an application for transfer of ownership of the information asset from the client terminal 200, step S27 is performed to update the ownership of the information asset in various tables, and step S28 is performed to generate and send a transaction for transferring the ownership of the NFT. In step S26, the accepted application content is temporarily stored in the main storage device. In step S27, the summary visualization Pg141 temporarily stored in the main storage device is executed to add the history of the ownership transfer to the utilization history table 152 and update the ownership in various tables in the auxiliary storage device, and the utilization information etc. associated with the application is summarized to update the various tables. In step S28, a transaction for transferring the ownership of the NFT is generated and sent to the blockchain using the same process as in step S25.

[0117] Finally, the server terminal 100 performs step S10 similar to that of Fig. 11, in which the value allocation and compensation of the information assets are calculated and updated, and step S29, in which a transaction is generated based on the value allocation and compensation information and sent to the FT blockchain. The explanation of step S10 is omitted because the flow is roughly similar to that of Fig. 11. In step S29, information is obtained from the value allocation table 155 and compensation table 156 in the auxiliary storage device and temporarily stored in the main storage device, and the blockchain management Pg146 is executed to generate a transaction and send it to the blockchain.

[0118] <Screen image> FIG. 33A and FIG. 33B are explanatory diagrams showing examples of screens for confirming or paying the consideration to which the sixth embodiment is applied. FIG. 33A and FIG. 33B show screen transitions by illustrating two screens. FIG. 33A illustrates the consideration confirmation screen of FIG. 18 as a screen before transition, and by pressing a button 226-1 for moving to a payment screen on that screen, it is possible to move to a consideration payment screen 227, which is a screen after transition. On the consideration payment screen, it is assumed that the payment content and method are selected in a selection section 227-1, and then a button 227-2 for proceeding to a payment confirmation screen is pressed to proceed to a confirmation screen of the payment content. Note that there may be a function for transitioning to an in-house authentication process after confirming the payment content, and a function for issuing a receipt or the like after payment may be added.

[0119] <<Modifications>> The present invention is not limited to the above-described embodiments, and various modifications can be made within the scope of the present invention. Furthermore, the above-described embodiments can be combined with each other without departing from the scope of the present invention.

[0120] The present invention may also take the following configuration: The present invention is an information asset management system equipped with a storage device, a CPU, and a communication device, used when a group of affiliated businesses mutually share and utilize information assets within an agreed-upon sharing range, the storage device stores an information asset table in which rights information, utilization information, and value assessment information are associated with an information asset, a utilization history table in which utilized information assets and detailed utilization information are associated with utilization history numbers, an access authority table in which access authority to an information asset that defines the shared range is associated with an information asset, an access authority holding status table in which the holding status of the access authority is associated with system users, a value allocation table in which value allocation to each system user is associated, and a consideration table in which the consideration charged to each system user is associated, the CPU includes a compilation visualization unit that compiles and visualizes information, a value assessment unit that evaluates the value of the information assets, a value assessment unit that calculates the value allocation, and a value assessment unit that calculates the value allocation. The gist of the present invention is that the storage device functions as an allocation calculation unit and a fee calculation unit that calculates the charged fee, and performs a utilization aggregation process that reads the utilization history table and aggregates the utilization status of the information asset and records it in the storage device, an assessed value calculation process that reads the storage device, calculates the assessed value of the information asset and records it in the information asset table, a value allocation calculation process that reads the storage device, calculates the value allocation to rights holders of the information asset, etc. and records it in the value allocation table, a fee calculation process that reads the storage device and, for each system user, calculates the charged fee for each type of access authority based on the presence or absence of the access authority if there is a single access authority, and if there are multiple types of access authority, adds up the charged fee for each type and records the result in the fee table, and a value transfer information output process that reads the value allocation table and / or the fee table, and outputs the table to a report or the like and / or transmits the table to a value management / transfer system for money, points, etc. via a communication device.

[0121] A more preferred configuration of the information asset management system is one in which the CPU functions as an AI management unit that uses artificial intelligence to generate responses to received inquiries, and the storage device stores an inquiry table in which the answer returned in response to the inquiry, information on the information asset referenced by the artificial intelligence when generating the answer, user evaluations received in response to the answer, and information on the information asset generated based on an application for new information asset generation received in response to the answer are stored.

[0122] A further preferred configuration of the information asset management system is one in which the CPU functions as a blockchain management unit that generates transactions for the blockchain, a metadata generation unit that generates metadata linked to the token, and a hash value generation unit that hashes the contents of the information asset. [Explanation of symbols]

[0123] 10...system management company, 20...group of affiliated companies, 21...consortium, 22...subgroup, 23...company, 30...blockchain, 100...server terminal, 200...client terminal, 300...blockchain terminal, 110,210,310...input device, 120,220,320...output device, 130,230,330...CPU, 140,240,340...main memory, 150,250,350...auxiliary memory, 160,260,360...communication device, 170,270,370...bus, 900...network

Claims

1. An information asset management device comprising a storage device, an arithmetic processing device, and a communication device, and used to manage the mutual sharing, utilization, value allocation, and charged compensation of information assets within a sharing range agreed upon by a group of affiliated businesses, wherein the information assets and information related to the information assets are input via the communication device from a terminal used for sharing and utilizing the information assets, The storage device includes: The information assets; management information for managing the mutual sharing, utilization, and value allocation of the information assets, as well as the fees charged for the utilization of the information assets, including value assessment information regarding the value of the information assets and utilization information that is information regarding the utilization of the information assets; Hold The arithmetic processing device includes: Calculating value allocation for said information assets using said utilization information, or said value assessment information and said utilization information; Calculating the fee to be charged for the utilization of the information asset using the utilization information, or the value assessment information and the utilization information; It was configured as follows: Information asset management device.

2. 2. An information asset management device according to claim 1, The storage device includes: As the management information, information asset management information including the value assessment information and the utilization information; Utilization history information indicating a utilization history of the information asset; value allocation and compensation management information including value allocation for the information assets and compensation to be claimed for the utilization of the information assets; Hold The arithmetic processing device includes: updating the information asset management information and the utilization history information based on information regarding the information asset input from the terminal; updating the value allocation consideration management information based on the calculated value allocation for the information asset and the fee charged for the utilization of the information asset; It was configured as follows: Information asset management device.

3. 2. The information asset management apparatus according to claim 1, The information asset is control, operation, and maintenance related information, which is information related to the control, operation, or maintenance of a facility, network, system, equipment, device, or part. Information asset management device.

4. 2. The information asset management apparatus according to claim 1, The value assessment information includes value assessment standard information that is a standard for assessing the value of the information asset and value information that represents the value of the information asset; The arithmetic processing device includes: Calculating the value information based on the value assessment criteria information; Calculating the value allocation based on the calculated value information and the utilization information. It was configured as follows: Information asset management device.

5. 5. The information asset management apparatus according to claim 4, The value assessment criteria information includes information for evaluating the reliability and validity of the information asset based on the actual utilization record of the information asset and information for evaluating the rarity of the information asset based on the existence of similar information assets, The arithmetic processing device includes: Calculating the value information indicating the value of the information asset in terms of the reliability, the validity, and the rarity of the information asset using the value assessment standard information; It was configured as follows: Information asset management device.

6. 4. The information asset management device according to claim 3, The value assessment information is validity-related information regarding the validity of the control, operation, and maintenance-related information; Reliability-related information regarding the reliability of the control, operation, and maintenance-related information; scarcity-related information regarding the scarcity of the control, operation, and maintenance-related information; Including, Information asset management device.

7. 7. The information asset management apparatus according to claim 6, The efficacy-related information includes information relating to the age or expiration date of said control, operation and maintenance related information; A user evaluation of the control / operation / maintenance related information; and Including, The reliability-related information is The implementation record of the assets covered by the control, operation, and maintenance related information; Other control, operation and maintenance related information constituting the control, operation and maintenance related information; Including, Information asset management device.

8. 7. The information asset management apparatus according to claim 6, The rarity-related information includes information related to similar control, operation and maintenance-related information similar to the target control, operation and maintenance-related information; Information asset management device.

9. 2. The information asset management apparatus according to claim 1, The utilization information is a reference record which is information indicating a record of the information asset being referenced; A cited record is information indicating the record of a citation of the information asset; and A genealogy information asset which is information indicating citing and cited relationships of the information asset; Including, Information asset management device.

10. 4. The information asset management device according to claim 3, the management information includes a user evaluation of the control / operation / maintenance related information as the information asset; The arithmetic processing device includes: The control / operation / maintenance related information is received from the terminal, and a response to the inquiry is generated by artificial intelligence. The storage device includes: In response to the inquiry, the answer returned, the control / operation / maintenance related information referred to by the artificial intelligence when generating the answer, and the user evaluation received for the answer are stored in correspondence with each other in the inquiry information; The arithmetic processing device includes: When generating a response to the received inquiry through the AI ​​management, the control / operation / maintenance related information referred to by the artificial intelligence is recorded in the inquiry information; When receiving a user evaluation of the answer generated by the AI ​​management, a calculation is performed to assign the user evaluation of the answer to a user evaluation of each piece of control, operation, and maintenance related information referred to by the artificial intelligence when generating the answer; Based on a result of the allocation calculation, a user evaluation corresponding to the control / operation / maintenance related information is recorded in the management information for each of the referenced control / operation / maintenance related information. It was configured as follows: Information asset management device.

11. 4. The information asset management device according to claim 3, The arithmetic processing device includes: The control / operation / maintenance related information is received from the terminal, and a response to the inquiry is generated by artificial intelligence. The storage device includes: retaining inquiry information in which the answer returned in response to the inquiry, the control / operation / maintenance related information referred to by the artificial intelligence when generating the answer, and the control / operation / maintenance related information generated based on a new control / operation / maintenance related information generation application received in response to the answer are associated with each other; The arithmetic processing device includes: When a response to a received inquiry is generated and returned by the AI ​​management, an application is accepted to register the response or a proposed amendment to the response as new control / operation / maintenance related information in the inquiry information, new control / operation / maintenance related information is generated, and the generated new control / operation / maintenance related information is registered in the inquiry information. It was configured as follows: The information asset management device.

12. 3. The information asset management device according to claim 2, wherein the information asset management device is used to operate a blockchain that holds an NFT, which is a non-fungible token corresponding to the information asset, and an FT, which is a fungible token, The arithmetic processing device includes: a blockchain manager that generates transactions for the blockchain; Metadata generation to generate metadata associated with the token; generating a hash value by hashing the contents of the information asset; [0023] The arithmetic processing device includes: An NFT issuing process for recording a new NFT on the blockchain by including a hash value of the contents of the information asset generated by hash value generation in metadata; A value distribution transaction generation process that reads the value distribution from the value distribution compensation management information and generates a transaction corresponding to the value distribution through blockchain management; A fee request transaction generation process that reads a request amount from the value distribution request management information and generates a transaction corresponding to the request amount through blockchain management; To carry out It was configured as follows: Information asset management device.

13. 2. The information asset management apparatus according to claim 1, A display device for displaying an image is provided, The arithmetic processing device includes: Based on the management information, generating at least one of information on the utilization status of the information assets, the value allocation of the information assets, and the fee charged for the information assets, or information related to the at least one of the information; displaying an image showing the generated information on the display device; It was configured as follows: Information asset management device.

14. A terminal used to share and utilize information assets; an information asset management device comprising a storage device, an arithmetic processing device, and a communication device, which is used to manage the mutual sharing, utilization, value allocation, and charged price of the information assets within a sharing range agreed upon by a group of affiliated businesses, and into which the information assets and information related to the information assets are input from the terminal via the communication device; An information asset management system comprising: The storage device of the information management device includes: The information assets; management information for managing the mutual sharing, utilization, and value allocation of the information assets, as well as the fees charged for the utilization of the information assets, including value assessment information regarding the value of the information assets and utilization information that is information regarding the utilization of the information assets; Hold The processing unit of the information asset management device Calculating value allocation for said information assets using said utilization information, or said value assessment information and said utilization information; Calculating the fee to be charged for the utilization of the information asset using the utilization information, or the value assessment information and the utilization information; It was configured as follows: Information asset management system.

15. 1. An information asset management method using an information processing device that includes a storage device, an arithmetic processing device, and a communication device, and is used to manage mutual sharing, utilization, value allocation, and billing of information assets within a sharing range agreed upon by a group of affiliated businesses, and in which the information assets and information related to the information assets are input via the communication device from a terminal used for sharing and utilizing the information assets, The storage device of the information processing device The information assets; management information for managing the mutual sharing, utilization, and value allocation of the information assets, as well as the fees charged for the utilization of the information assets, including value assessment information regarding the value of the information assets and utilization information that is information regarding the utilization of the information assets; Hold The arithmetic processing unit of the information processing device Calculating value allocation for said information assets using said utilization information, or said value assessment information and said utilization information; Calculating the fee to be charged for the utilization of the information asset using the utilization information, or the value assessment information and the utilization information; How to manage information assets.

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