JP2019046437A - Determination device, determination method, and determination program - Google Patents

Abstract

To enable appropriate use of data reflecting dependency of data.SOLUTION: A determination device of the present invention includes an acquisition unit and a determination unit. The acquisition unit acquires lineage information indicative of dependencies among data sets associated with enterprises that own the data sets. The determination unit determines whether a certain use of a second data set representing a model created based on a first data set of the data sets indicated by the lineage information acquired by the acquisition unit is possible or not in accordance with information regarding permission by a first enterprise owning the first data set.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a determination apparatus, a determination method, and a determination program.

  Conventionally, techniques for managing various information (data) have been provided. For example, there is provided a technology that visualizes the flow of data from data reception to data integration, and makes it possible to grasp how data is integrated.

JP, 2002-169831, A

  However, in the above-described prior art, it may be difficult to perform appropriate data use permission reflecting data dependency. For example, when using data generated by one business using data owned by another business, if it is possible to use data generated by one business with only the permission of one business, the other In some cases, the rights, etc., of a business entity etc. may not be properly protected. As such, it may be difficult to enable the use of appropriate data reflecting data dependencies.

  This application is made in view of the above, and an object of the present invention is to provide a determination device, a determination method, and a determination program that enable the use of appropriate data reflecting data dependency.

  The determination apparatus according to the present application includes an acquisition unit that acquires lineage information indicating a dependency between the data associated with a business owner who owns each data, and the data in the lineage information acquired by the acquisition unit. A determination unit that determines whether or not predetermined use of the second data, which is a model created based on the first data, is permitted according to the information on the permission of the first enterprise who owns the first data; It is characterized by having.

  According to an aspect of the embodiment, it is possible to use appropriate data reflecting data dependency.

FIG. 1 is a diagram illustrating an example of the determination process according to the embodiment. FIG. 2 is a diagram illustrating an example of the configuration of the determination system according to the embodiment. FIG. 3 is a diagram showing an example of the configuration of the determination apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of a business entity information storage unit according to the embodiment. FIG. 5 is a diagram showing an example of a lineage information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a permission information storage unit according to the embodiment. FIG. 7 is a flowchart illustrating an example of the determination process according to the embodiment. FIG. 8 is a conceptual view showing a configuration example of a platform according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the function of the determination device.

  Hereinafter, a determination apparatus, a determination method, and an embodiment for implementing a determination program (hereinafter, referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. In addition, the determination apparatus which concerns on this application, the determination method, and the determination program are not limited by this embodiment. Moreover, the same code | symbol is attached | subjected to the same site | part in the following each embodiment, and the overlapping description is abbreviate | omitted.

(Embodiment)
[1. Decision processing]
First, an example of the determination process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of the determination process according to the embodiment. In FIG. 1, the case where the determining apparatus 100 (see FIG. 3) determines the availability of data is described as an example based on information (lineage information) indicating the dependency between each piece of data with which the provider is associated. In the following, the data on the dependent side may be referred to as first data, and the data on the side dependent on the first data may be referred to as second data. For example, the second data is generated based on the first data. Here, the first data and the second data are relative concepts for explaining the dependency of the data, and one data becomes the first data with respect to the other data, and one data becomes the other. It may be the second data of data. Here, the dependency between data as referred to herein is a relationship in which one data affects the existence of other data, as in the case where the first data is the data on which the second data is present. It is also good.

  In the example of FIG. 1, the determination apparatus 100 determines whether or not to use the second data generated using the first data, according to the information on the permission of the first enterprise who owns the first data. Below, the data (1st data) used as the basis of generation | occurrence | production of 2nd data may be made into "base data." In the example of FIG. 1, the case where the operator ED requests taking out of the data DT4 out of a predetermined platform (platform PF) is shown.

  The platform referred to here is an environment for providing a predetermined service (hereinafter referred to as "platform service"). The platform PF illustrated in the example of FIG. 1 may be an environment provided by a service provider who performs various services using the determination apparatus 100. Also, the platform PF may be provided across a plurality of cloud services (hereinafter also referred to as “cloud”). The details of this point will be described later.

  The platform PF shown in the example of FIG. 1 makes a plurality of owners (operators), each of whom owns data, make their data available to other operators, or makes use of the data of other operators. Be a platform service for Each business operator can use data in the platform service through a predetermined interface (IF). For example, data registered in the platform PF illustrated in the example of FIG. 1 may be a conventional technology relating to various network computing such as a predetermined application programming interface (API) and a virtual machine (VM). It shall be available by appropriately using it. For example, the business operator may be able to view or use data of another business operator or the like in the platform PF by using a predetermined application programming interface, a virtual machine or the like.

  Further, in the example of FIG. 1, each business operator who uses the platform service is limited in downloading (storage) of data in the platform PF to devices (such as the business device 20) outside the platform PF. . That is, in the example of FIG. 1, it is assumed that taking out of data out of the platform PF is limited. The use of data in the platform PF may be controlled by various conventional techniques such as ACL (Access Control List), but the description is omitted.

  As described above, when “enter company * (* is an arbitrary character string)” is described, it indicates that the operator is the operator identified by the company ID “*”. For example, when it describes as "business company EA", the business company is a business company identified by business company ID "EA". Further, when “data DT * (* is an arbitrary numerical value)” is described, it indicates that the data is data identified by the data ID “DT *”. For example, when "data DT1" is described, the data is data identified by data ID "DT1".

  In the following, when the determination device 100 requests that the carrier ED bring out the data DT4 out of the platform PF, the carrier ED brings out the data DT4 in accordance with the permission of the carrier who owns the basic data of the data DT4. Explain the case of deciding whether to license. Note that, in the example of FIG. 1, a case where the determining apparatus 100 permits taking out of the data DT4 by the business entity ED when all the business operators who own the basic data of the data DT4 approve it will be described.

  In the example of FIG. 1, taking out of the data DT 4 by the carrier ED out of the platform PF is shown as an example of predetermined use of data, but the predetermined use of data is not limited to taking out of the platform PF. , And may be various uses such as use in the platform PF. Further, in the example of FIG. 1, it is assumed that a large number of business operators such as the business owner EA, the business operator EB, the business operator EC, and the business operator ED use the platform service.

  First, in the example of FIG. 1, the enterprise EA registers the data DT1 in the platform PF. For example, in the platform PF, data DT1 is registered from the business entity apparatus 20-1 (see FIG. 2) used by the business enterprise EA. The data DT1 registered by the business entity EA may be any data (information). For example, the data DT1 registered by the business entity EA may be any data as long as the data is owned by the business enterprise EA. For example, the data DT1 registered by the business entity EA may be sales data of a vehicle or the like when the business enterprise EA is a business that sells a vehicle. For example, data DT1 registered by the business entity EA is statistical data based on sales data of a car associated with information that can identify the user (individual), demographic attributes (such as gender and age) of the user, and psychographic attributes. It may be sales data etc. In the following, data associated with information that can identify a user may be referred to as “identifiable data” and statistical data may be referred to as “statistical data”. For example, in the example of FIG. 1, each business entity such as the business entities EA to ED uses the business entity apparatus 20 to request processing of data in the platform PF via the interface API.

  Further, the business operator EB registers the data DT2 in the platform PF. For example, in the platform PF, data DT2 is registered from the business entity apparatus 20-2 (see FIG. 2) used by the business entity EB. In addition, the enterpriser EC registers the data DT3 in the platform PF. For example, in the platform PF, data DT3 is registered from the business entity apparatus 20-3 (see FIG. 2) used by the business entity EB.

  Further, in the example of FIG. 1, it is assumed that the provider ED is permitted to use the data DT1 to DT3. Then, the operator ED generates data DT4 using the data DT1 to DT3 in the platform PF. That is, in the example of FIG. 1, the data DT4 is data based on the data DT1 as shown in the dependency relationship DP1. The data DT4 is data based on the data DT2 as shown in the dependency DP2. The data DT4 is data based on the data DT3 as shown in the dependency DP3. The determination apparatus 100 may store lineage information indicating the above-described dependency in the lineage information storage unit 122 (see FIG. 5).

  Further, in the example of FIG. 1, it is assumed that the provider ED registers the generated data DT4 in the platform PF. For example, the data DT4 may be various data such as a model generated based on the data DT1 to DT3, distinguishable data, statistical data, and the like. Data DT4 may be any data as long as it is data generated based on data DT1 to DT3.

  Here, in the example of FIG. 1, the business operator ED makes a use request of the data DT4 (step S11). For example, the manager M1 of the business entity ED requests the business entity apparatus 20-4 to download (take out) the data DT4. For example, the determining apparatus 100 acquires request information indicating that the data DT4 is to be downloaded (carried out) from the business entity apparatus 20-4.

  Since the business operator ED requests taking out of the data DT4 out of the platform PF, does the determining apparatus 100 permit taking out of the data DT4 by the business operator ED according to the permission of the business owner who owns the basic data of the data DT4? Determine if.

  For example, the determining apparatus 100 requests the enterprise EA holding the data DT1, which is the basic data of the data DT4, to confirm whether to permit the enterprise ED to bring out the data DT4. For example, the determination apparatus 100 transmits, to the business entity apparatus 20-1 of the business enterprise EA that owns the data DT1, information requesting a confirmation as to whether taking out of the data DT4 by the business entity ED is permitted.

  In the example of FIG. 1, the business entity EA permits taking out of the data DT4 by the business enterprise ED (step S12-1). For example, the determining apparatus 100 acquires, from the business entity apparatus 20-1 of the business enterprise EA, information indicating that the business entity ED permits taking out the data DT4.

  For example, the determination apparatus 100 requests the enterprise EB which owns the data DT2 which is the basic data of the data DT4 to confirm whether to permit the enterprise ED to take out the data DT4. For example, the determining apparatus 100 transmits, to the business entity apparatus 20-2 of the business owner EB who owns the data DT2, information for requesting confirmation as to whether taking out of the data DT4 by the business entity ED is permitted.

  In the example of FIG. 1, the business operator EB permits taking out of the data DT4 by the business operator ED (step S12-2). For example, the determining apparatus 100 acquires, from the business entity apparatus 20-2 of the business entity EB, information indicating that the business entity ED permits taking out the data DT4.

  For example, the determination apparatus 100 requests the enterpriser EC, which owns the data DT3 which is the basic data of the data DT4, to confirm whether the takeover of the data DT4 by the enterprise ED is permitted. For example, the determining apparatus 100 transmits, to the business entity apparatus 20-3 of the business enterprise EC that owns the data DT3, information requesting a confirmation as to whether the business entity ED permits taking out the data DT4.

  In the example of FIG. 1, the business entity EC permits taking out of the data DT4 by the business entity ED (step S12-3). For example, the determining apparatus 100 acquires, from the business entity apparatus 20-3 of the business entity EC, information indicating that the business entity ED permits taking out the data DT4.

  Thus, in the example of FIG. 1, there is a permission for taking out the data DT4 by the enterprise ED from the platform PF from the enterprise EA, the enterprise EB and the enterprise EC who own the basic data of the data DT4. The determination apparatus 100 determines to permit the carrier ED to bring out the data DT4. That is, the determination device 100 makes a determination regarding control regarding data registered in the platform PF. Then, the determination apparatus 100 performs a process for providing the enterprise DT with the data DT4. For example, the determination apparatus 100 performs a process for causing the business entity ED to carry out the data DT4. Further, hereinafter, when the steps S12-1 to S12-3 are described without distinction, they are collectively referred to as step S12.

  For example, the determining apparatus 100 transmits, to the cloud server 50 (see FIG. 2) that holds the data DT4, information instructing to transmit the data DT4 to the business entity apparatus 20-4 of the business operator ED (step S13). In the example of FIG. 1, the cloud server 50-4 (see FIG. 4) that has received an instruction from the determination device 100 transmits the held data DT4 to the business entity apparatus 20-4 of the business entity ED. Also, for example, when the determining apparatus 100 owns the data DT4, the determining apparatus 100 may transmit the data DT4 to the business entity apparatus 20-4.

  Thus, the business operator ED completes taking out the data DT4 (step S14). For example, the data DT4 is downloaded to the business entity apparatus 20-4 of the business entity ED.

  Although the example of FIG. 1 shows the case where the permission of the business owner who owns the basic data is confirmed after the request in step S11 for the purpose of explanation, step S12 is performed in advance before step S11. It is also good.

  As described above, when the enterprise uses the data having the base data to be generated, the determination apparatus 100 determines the availability of the use according to the permission of the enterprise that owns the base data. Therefore, the determination apparatus 100 can enable the use of appropriate data reflecting the dependency of data. As a result, when each enterprise registers its own data in the platform PF in the determination system 1 and uses data of other enterprises, it becomes possible to grasp how its own data is used. In addition, each business operator who has registered data in the platform PF can restrict the diversion of other data based on that data when deleting the data etc. in which his data is registered in the platform PF. become. Thereby, the decision system 1 can reduce the psychological barrier when the business operator registers data on the platform PF. Therefore, the decision system 1 can increase the number of operators who enter the use of the platform service.

[1-1. Dependency between data]
Although the example of FIG. 1 shows the case where the dependency between data has a direct dependency in order to simplify the description, the dependency between data may be in various modes. In addition, the determination apparatus 100 may perform the determination process according to the dependencies of various aspects.

  For example, when there is basic data (hereinafter, “recursive basic data”) of basic data of data (second data) that is the target of the use request, the determination apparatus 100 determines the availability of the second data In addition, the presence or absence of permission of the business owner who possesses recursive basic data may be taken into consideration. For example, when there is a request for use of the second data, the use of the second data may be permitted if all operators of the first data and the recursive basic data have permission. Note that the recursive basic data may include no dependent data, that is, data retroactive to the data until the basic data disappear, or data retroactive to a predetermined number of layers (for example, three layers). It may be

[1-2. Permit conditions]
In the example of FIG. 1, in order to simplify the description, there is shown a case where the use (takeout) of the second data is permitted when there is a license from all business operators who own the basic data. The determination apparatus 100 may use various information as appropriate to determine whether or not to use. For example, the determination apparatus 100 may determine to permit the predetermined use of the second data when there is a permission of some first businesses, not limited to all the first businesses. For example, the determination apparatus 100 determines that the predetermined use of the second data is permitted when a business operator having a predetermined threshold value or more among the plurality of first business businesses approves. In the example of FIG. 1, the determination apparatus 100 may determine to permit taking out of the data DT4 by the business entity ED, when two or more business entities among the three business entities EA to EC permit.

[1-2-1. Availability based on proportions]
In addition, the determination apparatus 100 may determine whether or not to use the data based on the proportion of the data of the granted first business operator in the basic data. For example, if the data amount of the first business operator who has made the permission among the first data that the second data depends on is equal to or greater than the predetermined threshold, the determining device 100 permits the predetermined use of the second data. You may decide. For example, if the sum of the data amounts of the plurality of licensed first business entities among the first data that the second data depends on is greater than or equal to the predetermined threshold, the determining device 100 determines the predetermined second data. You may decide to allow the use of

  For example, the determining apparatus 100 may determine to permit the predetermined use of the second data, when the ratio of the data of the first business operator who has made the permission to the entire basic data is equal to or more than the predetermined threshold. For example, the determination apparatus 100 may determine to permit the predetermined use of the second data, when the ratio of the data of the first business operator who has performed the license to the basic data is equal to or more than the threshold “70%”. .

  In the example of FIG. 5, the determining apparatus 100 is the data DT4 of two of the business owners EA having a ratio of “40%” and a ratio of “30%” of the three carriers EA to EC. When two business operators permit, it may be decided to permit taking out of the data DT4 by the business operator ED. In this case, the determination apparatus 100 determines that the ratio of the data of the permitted enterprise is “70 (= 40 + 30)%” and is equal to or higher than the threshold “70%”, and thus determines to permit taking out the data DT4 by the enterprise ED. It is also good.

1-2-2. Availability based on contribution degree]
In addition, the determination apparatus 100 may determine whether or not to use the data, based on the degree of contribution of the licensed first enterprise data. For example, if the degree of contribution of the data of the licensed first business operator among the first data that the second data depends on is greater than or equal to the predetermined threshold, the determining device 100 determines the predetermined use of the second data. You may decide to allow it. Also, for example, when the sum of the contribution degrees of the first data of the plurality of first businesses who have granted permission for the second data is equal to or greater than the predetermined threshold, the determining device 100 determines the predetermined use of the second data. You may decide to allow it. Although the example of FIG. 5 shows the case where the sum of the contributions of all the base data is 100, the contribution may be an appropriate value.

  For example, when the degree of contribution of the first data of the first enterprise who has made the license for the second data is equal to or more than a predetermined threshold, the determining apparatus 100 determines to permit the predetermined use of the second data. For example, the determining apparatus 100 may determine that the predetermined use of the second data is permitted when the sum of the contribution degrees of the data of the first business operator who has made the permission is equal to or more than the threshold value “70”.

  In the example of FIG. 5, the determination apparatus 100 selects two of the three businesses EA to EC with respect to the data DT4: the business EA having a contribution of “35” and the business EB having a contribution of “35”. When two business operators permit, it may be decided to permit taking out of the data DT4 by the business operator ED. In this case, the determination apparatus 100 determines that the take-out of the data DT4 by the business entity ED is permitted because the contribution degree of the data of the permitted business company is “70 (= 35 + 35)” and is equal to or more than the threshold “70”. Good.

[1-2-2-1. In the case of model]
Further, when the second data is a model, the degree of contribution of each basic data (first data) may be determined according to the degree of influence on the accuracy of the model. In this case, the degree of contribution of each basic data (first data) in the generation of the second data that is a model may be determined according to the degree of influence on the accuracy of the model. In this case, the degree of contribution may be the degree of importance (the degree of contribution) to the objective variable of each explanatory variable. For example, in the model, the determination apparatus 100 may determine that the data corresponding to the feature having the larger weight has the larger contribution rate (the degree of influence) to the model. In addition, generation of the model as the second data may be performed using various conventional techniques as appropriate. The model may also be generated using techniques related to machine learning of supervised learning such as SVM (Support Vector Machine). Also, for example, model generation may be performed using a technique related to machine learning of unsupervised learning. For example, model generation may be performed using deep learning techniques. For example, generation of a model may be performed using various deep learning techniques, such as Deep Neural Network (DNN), Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), etc., as appropriate. In the determination system 1, the contribution degree of each data determined using various conventional techniques such as the calculation of the contribution rate of the model as described above may be used.

1-2-2-2. Value of data]
Further, the determination apparatus 100 may appropriately determine the degree of contribution of the business owner who owns each basic data, using various information as appropriate. For example, the determination device 100 may determine that the degree of contribution of the basic data is higher as the degree of rarity of the basic data is higher. For example, the determination device 100 may determine that the contribution degree of the base data is higher as the range in which each base data is published is narrower.

[1-3. Exclusion target]
In addition, the determination apparatus 100 is for the permission of the remaining business entities (hereinafter, also referred to as “license required business operators”) excluding the business operators that do not satisfy the conditions from the first business operator (hereinafter, also referred to as “excluded business operators”). Depending on whether or not to use may be determined.

  For example, the determination apparatus 100 determines the information according to the information on the permission of the first enterprise (the license required enterprise) other than the first enterprise in which the first data does not satisfy the predetermined criteria among the plurality of first enterprises. Do.

[1-3-1. Low impact company]
For example, the determination apparatus 100 may determine in accordance with the information on the permission of the first enterprise other than the first enterprise whose degree of influence on the second data does not satisfy the predetermined criteria. For example, the determining apparatus 100 sets the first enterprise whose degree of influence on the second data does not meet the predetermined criteria as the exclusion enterprise and relates to the permission of the first enterprise (the license requiring enterprise) excluding the exclusion enterprise. Whether to use or not may be determined according to the information.

  For example, the determination apparatus 100 may determine an enterprise whose ratio of data to basic data is less than a predetermined threshold as an exclusion enterprise. For example, the determining apparatus 100 may determine, as the excluded business entity, the business entity whose ratio of the first business entity data to the basic data is less than the threshold “20%”.

  In the example of FIG. 5, the determining apparatus 100 is a business owner who owns the data DT4 in which the proportion of the data DT55 in the whole basic data (data DT11, DT21, DT4) is “5%” less than the threshold “20%”. You may decide ED as an exclusion business. In this case, the determination apparatus 100 determines whether or not to use the data according to the permission of two businesses of the business owner owning the data DT11 and the business owner owning the data DT21 excluding the business entity ED.

  For example, the determination apparatus 100 may determine an enterprise whose contribution degree of data is less than a predetermined threshold as an exclusion enterprise. For example, the determining apparatus 100 may determine, as the excluded enterpriser, the enterprise whose contribution degree of the data of the first enterprise is less than the threshold value “10”.

  In the example of FIG. 5, the determining apparatus 100 may determine, for the data DT 55, a business owner who owns the data DT 21 whose contribution degree of data is “5”, which is less than the threshold “10”, as an excluded business. In this case, the determination apparatus 100 determines whether or not the use is permitted according to the permission of two business owners of the data DT 11 and the business owner of the DT 4 excluding the business owner of the data DT 21. .

1-3-2. Exclusion based on type of basic data]
For example, the determination apparatus 100 may determine the excluded business operator according to the type of basic data. For example, when the type of basic data is “statistics”, the determination apparatus 100 may determine the business owner who owns the basic data as an exclusion business. That is, the determining apparatus 100 sets a business operator who owns basic data that is statistical data as an excluded business company, and determines whether or not to use it according to the information on the license of the licensed business company excluding the excluded business company. It is also good.

  Note that the above is an example, and the determination apparatus 100 may use various information as appropriate to determine an excluded business entity.

[1-4. Object of permission]
Although the example of FIG. 1 shows the case where the owner of the data takes out the own data as the object of permission, the determination apparatus 100 may perform the determination process for various objects of permission.

  For example, the determining apparatus 100 determines whether or not the predetermined use of the second data by a business other than the second business (which will hereinafter be referred to as “third business”) who owns the second data is performed by the first business. You may decide according to the information regarding permission. For example, the third enterprise may be an enterprise other than the first enterprise. For example, when the third business entity requests the use of the second data in the platform PF, the determination device 100 may determine whether to use the second data according to the information on the permission of the first business enterprise.

  In the example of FIG. 1, when the third enterprise (the enterprise EX) other than the enterprises EA to ED requests the use of the data DT4 in the platform PF, the determining apparatus 100 determines the data DT1 to DT3 which is the basic data. It may be determined according to the permission of the three business owners EA to EC which they own. For example, the determination apparatus 100 may determine that the business operator EX permits the use of the data DT4 in the platform PF when all of the three business carriers EA to EC grant.

  Also, for example, the determination apparatus 100 may use information on availability of data in such a platform PF as information on access control such as ACL. Thus, in the determination system 1, information indicating availability of data based on the determination process of the determination apparatus 100 may be used as information of access control such as ACL.

[2. Configuration of decision system]
As shown in FIG. 2, the determination system 1 includes a business entity apparatus 20, a cloud server 50, and a determination apparatus 100. The business entity apparatus 20, the cloud server 50, and the determination apparatus 100 are communicably connected by wire or wireless via a predetermined network N. FIG. 2 is a diagram illustrating an example of the configuration of the determination system according to the embodiment. The determination system 1 may include a plurality of determination devices 100.

  For example, the determination system 1 includes five or more business entity apparatuses 20 as well as the business entity apparatus 20-1, the business entity apparatus 20-2, the business entity apparatus 20-3, and the business entity apparatus 20-4. It may be When the business entity apparatus 20-1, the business entity apparatus 20-2, the business entity apparatus 20-3, the business entity apparatus 20-4, and the like are described without distinction, the business entity apparatus 20 may be described. . Further, the determination system 1 may include five or more cloud servers 50 in addition to the cloud server 50-1, the cloud server 50-2, the cloud server 50-3, and the cloud server 50-4. When the cloud server 50-1, the cloud server 50-2, the cloud server 50-3, the cloud server 50-4, and the like are described without distinction, the cloud server 50 may be described. For example, the cloud server 50 in the determination system 1 may be one.

  The business entity apparatus 20 is an information processing apparatus used by a business entity (company). For example, the business entity apparatus 20 is an information processing apparatus (computer) used to store (register) data in the cloud server 50 and to use data stored in the cloud server 50. The business entity apparatus 20 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. Hereinafter, the business entity apparatus 20 may be referred to as a business entity. That is, in the following, the business entity can be read as the business entity apparatus 20.

  For example, the business entity apparatus 20-1 is an information processing apparatus used in the business entity EA. For example, the business entity apparatus 20-2 is an information processing apparatus used by the business entity EB. For example, the business entity apparatus 20-3 is an information processing apparatus used in the business entity EC. For example, the business entity apparatus 20-4 is an information processing apparatus used by the business entity ED. The example of FIG. 1 shows the case where the business entity apparatus 20-4 is an information processing apparatus used by the manager M1 of the business entity ED. For example, the manager M1 of the business entity ED transmits various information to the platform PF such as the determination apparatus 100 using the business entity apparatus 20. The business entity apparatus 20 is realized by, for example, a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or the like. FIG. 1 shows the case where the business entity apparatus 20 is a notebook PC.

  The determination apparatus 100 is an information processing apparatus (computer) that performs a determination process based on lineage information indicating a dependency between each data associated with a business owner who owns each data. For example, the determination apparatus 100 determines whether or not predetermined use of the second data depending on the first data among the data in the lineage information is performed according to the information related to the permission of the first enterprise who owns the first data. Do. For example, the determination apparatus 100 acquires various information from the business entity apparatus 20 and the cloud server 50. For example, the determination apparatus 100 transmits various information to the business entity apparatus 20 and the cloud server 50. The determination apparatus 100 may generate lineage information as shown in the lineage information storage unit 122 (see FIG. 5) or permission information as shown in the permission information storage unit 123 (see FIG. 6), or the external device You may acquire from an information processing apparatus.

  The cloud server 50 is an information processing apparatus used by a service provider who provides a cloud service. For example, the cloud server 50 includes storage means for storing various data in the cloud service. For example, in the cloud service provided by the cloud server 50, it is assumed that the platform as described above can be constructed. In the example of FIG. 1, the platform PF is constructed on the cloud service provided by the cloud server 50.

  The determination system 1 is not limited to the cloud server, but may include servers of various operation modes as long as a desired platform such as the platform PF can be constructed. For example, the determination system 1 may include a server in an on-premises operation mode disposed in a facility or the like of the business operator. Even in this case, it is assumed that the same restrictions apply to taking out information from the server in the on-premises operation mode. That is, the installation position may be any position as long as the server in the determination system 1 satisfies the restrictions on the platform PF and the like.

[2-1. System configuration example]
Here, an example of the configuration of the determination system 1 according to the embodiment is shown using FIG. FIG. 8 is a conceptual view showing a configuration example of a platform according to the embodiment. Note that the description of FIG. 8 abstractly describes the configuration of the platform PF of FIG. 1, and the platform PF shown in FIG. 8 may be configured by the cloud server 50 or the like shown in FIG.

  In the example of FIG. 8, the cloud server 50-1 provides an A cloud service (hereinafter, referred to as “A cloud”). The cloud server 50-1 that provides the A cloud may be a plurality of servers. Data DT1 etc. are stored in database DB1 of platform PF1 (A platform) in A cloud. In the example of FIG. 8, the data DT1 of the business entity EA is registered in the cloud server 50-1 in which the A platform of A cloud is constructed.

  Further, in the example of FIG. 8, the cloud server 50-2 provides the B cloud service (hereinafter, referred to as “B cloud”). The cloud server 50-2 that provides the B cloud may be a plurality of servers. Data DT2 etc. are stored in database DB2 of platform PF2 (B platform) in B cloud. In the example of FIG. 8, the data DT2 of the provider EB is registered in the cloud server 50-2 in which the B platform of B cloud is constructed.

  Further, in the example of FIG. 8, the C cloud service (hereinafter, referred to as “C cloud”) is provided by the cloud server 50-3. Note that the cloud server 50-3 that provides the C cloud may be a plurality of servers. In addition, data DT3 and the like are stored in database DB3 of platform PF3 (C platform) in C cloud. In the example of FIG. 8, the data DT3 of the business entity EC is registered in the cloud server 50-3 in which the C platform of C cloud is constructed.

  Further, in the example of FIG. 8, the D cloud service (hereinafter referred to as “D cloud”) is provided by the cloud server 50-4. The cloud server 50-4 that provides the D cloud may be a plurality of servers. Data DT4 etc. are stored in database DB4 of platform PF4 (D platform) in D cloud. In the example of FIG. 8, the data DT4 of the provider ED is registered in the cloud server 50-4 in which the D platform of D cloud is constructed.

  Thus, in the example of FIG. 8, the platform PF is realized by the platforms PF1 to PF4 built in each of the A to D clouds. In this case, for example, an enterprise using A cloud (for example, enterprise EA) registers data in platform PF by registering data in A platform built in A cloud. Also, for example, a business that uses B cloud (for example, business EB) registers data in platform PF by registering data in B platform built in B cloud. As described above, in the platform PF illustrated in FIG. 8, data can be mutually used even among businesses using different cloud services.

  For example, in the determination system 1, each business operator may be able to access data placed in each cloud from any cloud. For example, in the fixed system 1, each business operator can access data arranged in one cloud (for example, A cloud) from another cloud (for example, B cloud) by using the interface API. It is also good.

  In addition, in the determination system 1, sharing of data among the respective clouds may be performed using metadata. For example, in the determination system 1, the platforms of the respective clouds may make the business entity accessible to data in the platform PF from any cloud by sharing metadata instead of actual data.

  Further, in the example of FIG. 8, the determination apparatus 100 may be able to access each of the platforms PF1 to PF4 included in the platform PF. In the example of FIG. 8, the determination apparatus 100 may be able to access each of the cloud servers 50-1 to 50-4 in which each of the platforms PF1 to PF4 is built. For example, the determination device 100 can control data in the platform PF by accessing a predetermined cloud server 50 or the like.

[2-2. System configuration〕
The configurations shown in FIG. 2 and FIG. 8 are examples, and the determination system 1 and the platform PF may have various configurations.

2-2-1. platform〕
In the example of FIG. 8, the case where the platform PF is constructed across a plurality of cloud servers 50 is shown as an example, but the platform PF may be constructed in one cloud server 50. For example, in the determination system 1, the platform PF may be built on the cloud server 50-1 that provides the A cloud.

2-2-2. Determination device]
For example, the determination device 100 in the determination system 1 may be integral with the cloud server 50. In this case, a service provider who performs platform service using the determination apparatus 100 may provide a cloud service. For example, in the determination system 1, the service provider providing the cloud service may be a service provider providing the platform service. In the example of FIG. 8, the determination device 100 may be integral with the cloud server 50-1 that provides the A cloud.

  As described above, the configuration of the determination system 1 may be any configuration as long as the determination processing as described above and control regarding data are possible.

[3. Configuration of determination device]
Next, the configuration of the determination apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing an example of the configuration of the determination apparatus according to the embodiment. As illustrated in FIG. 3, the determination apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a network interface card (NIC). The communication unit 110 is connected to a predetermined network N (see FIG. 2) in a wired or wireless manner, and transmits and receives information to and from the business entity apparatus 20.

(Storage unit 120)
The storage unit 120 is implemented by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 according to the embodiment includes a business entity information storage unit 121, a lineage information storage unit 122, and a permission information storage unit 123. Although not illustrated, history information (log) indicating how each data is used may be stored in the storage unit 120. For example, the storage unit 120 may store information regarding registration of each data in the platform PF, and a log indicating how a business operator used each data.

(Business information storage unit 121)
The business entity information storage unit 121 according to the embodiment stores various types of information regarding the business entity. For example, the business entity information storage unit 121 stores information on a business entity that uses the platform service. FIG. 4 is a diagram illustrating an example of a business entity information storage unit according to the embodiment. As illustrated in FIG. 4, the business entity information storage unit 121 includes items such as “business operator ID”, “business type”, and “registration information” as information on business entities.

  “Business operator ID” indicates identification information for identifying a business person. “Industry type” indicates the type of business of the business identified by the corresponding business ID. In the example of FIG. 4, the business type is illustrated by an abstract code such as “A business type”, but “business type” is specific information such as “food”, “cosmetics”, “automobile”, etc. Good. Further, “registration information” indicates data registered by a business operator identified by the corresponding business operator ID. For example, “registration information” indicates data registered by the business operator in the platform PF.

  For example, in the example illustrated in FIG. 4, the business entity (business business EA) identified by the business operator ID “EA” indicates that the business type is “A business type”. Further, the business entity EA indicates that the data DT1 has been registered in the platform PF. For example, the business entity EA indicates that the data DT1 is registered in the cloud server 50-1.

  The business entity information storage unit 121 is not limited to the above, and may store various information according to the purpose. For example, the business entity information storage unit 121 may store the name or the like of the business entity identified by the corresponding business entity ID. For example, the business entity information storage unit 121 may store information regarding the number of employees of the business and the business scale of sales.

(Lineage information storage unit 122)
The lineage information storage unit 122 according to the embodiment stores lineage information on data. For example, the lineage information storage unit 122 stores various information such as data dependency. FIG. 5 is a diagram showing an example of a lineage information storage unit according to the embodiment. As shown in FIG. 5, the lineage information storage unit 122 has items such as “data ID”, “owner”, and “base data information”.

  "Data ID" indicates identification information for identifying data. "Owner" indicates the owner of the data identified by the data ID. The “base data information” indicates various information on data (base data) on which the data identified by the data ID depends. For example, “base data information” indicates various information on the base data used to generate data identified by the corresponding data ID.

  The "base data information" has items such as "providing source", "percent (%)", and "degree of contribution". "Provide source" indicates data that the data identified by the data ID depends on. For example, "providing source" indicates the base data used to generate the corresponding data.

  "Percentage (%)" indicates the proportion of each data in all base data. For example, “proportion (%)” indicates the proportion of the data amount of each data in all the basic data.

  "Contribution" indicates the contribution of each data in all base data. For example, the “degree of contribution” indicates the degree of influence (the degree of contribution) or the like given to the data for which the basic data was generated.

  For example, in the example shown in FIG. 5, the data (data DT1) identified by the data ID "DT1" indicates that the owner is the enterprise EA. Data DT1 indicates that the provider is "-", and there is no basic data used to generate data DT1.

  For example, in the example shown in FIG. 5, the data (data DT4) identified by the data ID "DT4" indicates that the owner is the provider ED. Data DT4 indicates that the providers are “DT1”, “DT2”, and “DT3”, and the basic data used to generate data DT4 is data DT1, DT2, and DT3.

  In addition, with regard to the data DT4, it is indicated that the ratio of the data DT1 in all the basic data is "40" (%) and the contribution degree is "35". Further, for the data DT4, the ratio of the data DT2 in all the basic data is “30” (%), and the contribution degree is “35”. Further, with regard to the data DT4, the ratio of the data DT3 in all the basic data is “30” (%), and the contribution degree is “30”.

  The lineage information storage unit 122 is not limited to the above, and may store various information according to the purpose. For example, the lineage information storage unit 122 may store, as the “providing destination”, data indicating that the corresponding data is dependent, that is, information indicating data generated using the corresponding data. Also, for example, the lineage information storage unit 122 may store information indicating the cloud server 50 in which the data identified by the data ID is stored in association with each data ID. For example, the lineage information storage unit 122 may store information indicating various dates and times regarding data. For example, the lineage information storage unit 122 may store information indicating the date and time when the data was registered, the date and time when the data was generated, and the date and time when the data was released.

(Permission information storage unit 123)
The permission information storage unit 123 according to the embodiment stores various types of information related to usage permission of data. For example, the permission information storage unit 123 stores various information such as data dependency. FIG. 6 is a diagram illustrating an example of a permission information storage unit according to the embodiment. As shown in FIG. 6, the permission information storage unit 123 has items such as “data ID”, “base data owner”, “base data”, “license information # 1”, and “license information # 2”.

  "Data ID" indicates identification information for identifying data. "Base data owner" indicates the owner of base data. "Base data" indicates information (data ID) for identifying base data. "License information # 1" and "License information # 2" indicate license information for various objects. In addition to the permission information # 1 and permission information # 2, permission information for a large number of objects such as permission information # 3 and permission information # 4 is stored according to the object of permission. Ru.

  The items “licensed information # 1”, “licensed information # 2”, and the like include items such as “licensed”, “target”, and “permitted”. "License" indicates the presence or absence of permission of each basic data owner. Also, "target" indicates the target of permission. Also, "OK" indicates the availability of data for the corresponding target.

  For example, in the example shown in FIG. 6, the data (data DT4) identified by the data ID "DT4" indicates that the basic data owner is three carriers EA, carriers EB, and carriers EC. Data DT4 indicates that the basic data is data DT1, DT2, and DT3.

  Further, as indicated by “License information # 1”, data DT4 indicates that the license of the enterprise EA, the enterprise EB, and the enterprise EC is “presence” for the target “business entity ED (takeout)”. . That is, in the example of FIG. 6, the data DT4 indicates the case where there is a permission of the all-base data owner for the target "business operator ED (takeout)". The data DT4 indicates that the permission for the target "business operator ED (carried out)" is "OK", as shown in "Permission Information # 1". That is, in the example of FIG. 6, the case where the carrier ED is allowed to bring out the data DT4 is shown.

  For example, in the example shown in FIG. 6, the data (data DT55) identified by the data ID "DT55" indicates that the basic data owner is three carriers EY, carriers EX, and carriers ED. Data DT55 indicates that the basic data is data DT11, DT21, and DT4.

  The data DT 55 indicates that the license of the business operator EY is “presence” for the target “business company EV (use)” as shown in the “licensing information # 1”. Further, the data DT 55 indicates that the license of the business entity EX is “absent” for the target “business business EV (use)”. That is, in the example of FIG. 6, the data DT 55 indicates the case where the enterprise EX is not permitted among the basic data owners for the target “business operator EV (use)”.

  Further, data DT55 indicates that the license of the enterprise ED is "unnecessary" for the target "enterprise EV (use)". That is, in the example of FIG. 6, the data DT 55 indicates that no permission is required for the enterprise “ED” among the basic data owners for the target “business operator EV (use)”.

  Further, as indicated by the “permission information # 1”, the data DT55 indicates that the propriety of the target “company EV (use)” is “impossible”. That is, in the example of FIG. 6, the case where the business operator EV is not permitted to use the data DT55 is shown.

  The permission information storage unit 123 is not limited to the above, and may store various information according to the purpose.

(Control unit 130)
The control unit 130 is a controller, and for example, various programs stored in a storage device such as the storage unit 120 in the determination apparatus 100 are executed by using a RAM as a work area by a CPU, an MPU, or the like. To be realized. For example, the various programs include various programs such as installed management applications. The control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or an FPGA.

  As shown in FIG. 3, the control unit 130 includes an acquisition unit 131, a determination unit 132, and a transmission unit 133, and implements or executes the function and operation of management processing described below. For example, the control unit 130 performs a management process of managing information used to perform the determination process.

(Acquisition unit 131)
The acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various types of information from an external information processing apparatus. For example, the acquisition unit 131 acquires various types of information from the business entity apparatus 20 and the cloud server 50. For example, the acquisition unit 131 acquires information indicating that the business entity is requesting use of data. For example, the acquisition unit 131 acquires, from the business entity apparatus 20 or the cloud server 50, information indicating that the business entity requests use of data.

  Also, for example, the acquisition unit 131 acquires various types of information from the storage unit 120 including the business entity information storage unit 121, the lineage information storage unit 122, the permission information storage unit 123, and the like. The acquisition unit 131 acquires lineage information indicating a dependency between each piece of data associated with a business owner who owns each piece of data.

  In the example of FIG. 1, the acquisition unit 131 acquires a use request for bringing out the data DT4 from the business entity apparatus 20 of the business entity ED via the interface API of the platform PF. Also, for example, the acquisition unit 131 may acquire, from the cloud server 50-4 that holds the data DT4, information indicating that the provider ED has made a use request to bring out the data DT4.

  For example, the acquisition unit 131 acquires request information indicating that the data DT4 is to be downloaded (carried out) from the business entity apparatus 20-4. For example, the acquisition unit 131 acquires, from the business entity apparatus 20-1 of the business enterprise EA, information indicating that the business entity ED permits taking out the data DT4. For example, the acquisition unit 131 acquires, from the business entity apparatus 20-2 of the business entity EB, information indicating that the business entity ED permits taking out the data DT4. For example, the acquiring unit 131 acquires, from the business entity apparatus 20-3 of the business entity EC, information indicating that the business entity ED permits taking out the data DT4.

(Determination unit 132)
The determination unit 132 determines various information. For example, the determination unit 132 performs various determinations using various information stored in the storage unit 120 including the business entity information storage unit 121, the lineage information storage unit 122, the permission information storage unit 123, and the like.

  For example, among the data in the lineage information acquired by the acquisition unit 131, the determination unit 132 determines whether the second data dependent on the first data can be used for the predetermined use of the first data by the first enterprise who owns the first data. Determined according to the information on permission. In addition, the determination unit 132 determines whether or not predetermined use of the second data generated using the first data is possible according to the information related to the permission of the first enterprise who owns the first data.

  In addition, the determination unit 132 determines whether or not the predetermined use of the second data is permitted according to the information on the permission of the plurality of first businesses. In addition, the determination unit 132 determines that the predetermined use of the second data is permitted when all of the plurality of first businesses permit. In addition, the determination unit 132 determines that the predetermined use of the second data is permitted when a business operator having a predetermined threshold value or more among the plurality of first business businesses approves.

  In addition, when the data amount of the first business operator who has made the permission among the first data that the second data depends on is equal to or more than the predetermined threshold, the determining unit 132 permits the predetermined use of the second data. decide. In addition, if the total of the data amounts of the plurality of licensed first business operators among the first data that the second data depends on is greater than or equal to a predetermined threshold value, the determination unit 132 determines the second data. Decide to allow the use of In addition, the determination unit 132 determines that the predetermined use of the second data is permitted when the degree of contribution of the first data of the first enterprise who has granted the second data is equal to or more than a predetermined threshold. In addition, when the total contribution of the first data of the plurality of first businesses who have licensed the second data is equal to or more than the predetermined threshold, the determining unit 132 permits the predetermined use of the second data. decide.

  Further, the determination unit 132 determines among the plurality of first business operators according to the information on the permission of the first business operators other than the first business operators whose first data does not satisfy the predetermined criteria. In addition, the determination unit 132 determines in accordance with the information on the permission of the first enterprise other than the first enterprise whose degree of influence on the second data does not satisfy the predetermined standard.

  Further, the determination unit 132 determines whether or not to use the second data outside the predetermined platform in which each data is managed, according to the information on the permission. In addition, the determination unit 132 determines whether or not the predetermined use of the second data by the third business operators other than the second business owner who owns the second data is performed according to the information related to the permission.

  In the example of FIG. 1, since the operator ED requests taking out the data DT4 out of the platform PF, the determination unit 132 determines that the data DT4 by the operator ED is accepted according to the permission of the operator who owns the basic data of the data DT4. Decide whether to permit taking out of In the example of FIG. 1, the decision unit 132 is authorized to take out the data DT4 by the enterprise ED from the platform PF from the enterprise EA, the enterprise EB, and the enterprise EC who own the basic data of the data DT4. It is decided that the carrier ED permits taking out of the data DT4. Then, the determination unit 132 performs a process for providing the enterprise DT with the data DT4.

(Transmission unit 133)
The transmission unit 133 transmits various information. The transmission unit 133 transmits various information to an external information processing apparatus. For example, the transmission unit 133 transmits various types of information to the business entity apparatus 20 and the cloud server 50. For example, the transmission unit 133 provides the business entity apparatus 20 with information indicating availability of data.

  For example, the transmitting unit 133 transmits, to the business entity apparatus 20-1 of the business owner EA who owns the data DT1, information for requesting confirmation as to whether taking out of the data DT4 by the business entity ED is permitted. For example, the transmitting unit 133 transmits, to the business entity apparatus 20-2 of the business owner EB who owns the data DT2, information for requesting confirmation as to whether taking out of the data DT4 by the business entity ED is permitted. For example, the transmitting unit 133 transmits, to the business entity apparatus 20-3 of the business enterprise EC that owns the data DT3, information for requesting confirmation as to whether taking out of the data DT4 by the business entity ED is permitted.

  For example, the transmission unit 133 transmits various information to the external device according to the determination of the determination unit 132. For example, when it is determined by the determination unit 132 that the take-out of use of certain data (data DT100) is permitted for the certain enterprise (the enterprise EP), the transmission unit 133 transmits the data DT100 to the enterprise device 20 of the enterprise EP. Send. For example, when it is determined by the determination unit 132 that the take-out of the use of certain data (data DT100) is permitted for the certain enterprise (the enterprise EP), the transmission server 133 transmits the data DT100 to the cloud server 50. The information instructing to transmit the data DT 100 is transmitted to the business entity apparatus 20 of

  For example, the transmitting unit 133 transmits, to the cloud server 50 (see FIG. 2) holding the data DT4, information instructing to transmit the data DT4 to the business entity apparatus 20-4 of the business entity ED. In the example of FIG. 1, the cloud server 50-4 (see FIG. 4) that has received the instruction from the transmission unit 133 transmits the held data DT4 to the business entity apparatus 20-4 of the business entity ED. Also, for example, when the transmitting unit 133 itself holds the data DT4, the transmitting unit 133 may transmit the data DT4 to the business entity apparatus 20-4.

[4. Flow of decision processing]
Next, the procedure of the determination process by the determination apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of the determination process according to the embodiment.

  As illustrated in FIG. 7, the determining apparatus 100 acquires lineage information indicating a dependency between each piece of data associated with the owned company (step S101). For example, the determination apparatus 100 acquires lineage information from the lineage information storage unit 122 illustrated in FIG.

  Then, the determination apparatus 100 determines whether or not predetermined use of the second data depending on the first data among the respective data is performed according to the information related to the permission of the first enterprise who owns the first data (step S102). In the example of FIG. 1, the determining apparatus 100 determines whether the provider ED can bring the data DT4 out of the platform PF or not by the three providers EA to the owner of the data DT1 to DT3 which is the basic data of the data DT4. Determined according to the permission of the EC.

[5. effect〕
As described above, the determination apparatus 100 according to the embodiment includes the acquisition unit 131 and the determination unit 132. The acquisition unit 131 acquires lineage information indicating a dependency between each piece of data associated with a business owner who owns each piece of data. The determination unit 132 relates to the permission of the first business owner who owns the first data, among the data in the lineage information acquired by the acquisition unit 131, the availability of the second data dependent on the first data. Determined according to the information.

  As described above, the determination apparatus 100 according to the embodiment grants permission of the first business owner who owns the first data to determine whether or not predetermined data of the second data depending on the first data can be used among the data in the lineage information. By making a decision according to the information on, it is possible to make it possible to use appropriate data reflecting the data dependency.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 is information regarding permission of the first enterprise who owns the first data to determine whether the second data generated using the first data can be used. Determined according to.

  As described above, the determining apparatus 100 according to the embodiment determines whether or not predetermined use of the second data generated using the first data can be performed according to the information related to the permission of the first enterprise who owns the first data. By making the determination, it is possible to use appropriate data reflecting the data dependency.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines whether or not predetermined data of the second data can be used according to the information related to the permission of the plurality of first businesses.

  As described above, the determining apparatus 100 according to the embodiment determines the propriety of the predetermined use of the second data according to the information related to the permission of the plurality of first business operators, thereby reflecting the data dependency. Data can be used.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines that the predetermined use of the second data is permitted when all of the plurality of first businesses permit.

  As described above, the determination apparatus 100 according to the embodiment determines that the predetermined use of the second data is permitted when all of the plurality of first businesses permit, thereby reflecting the data dependency. It can enable the use of data.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines that the predetermined use of the second data is permitted when a business operator having a predetermined threshold or more among the plurality of first business businesses approves.

  Thus, the determination apparatus 100 according to the embodiment determines that the predetermined use of the second data is permitted when the business operator having the predetermined threshold or more among the plurality of first business businesses approves the data It is possible to make it possible to use appropriate data reflecting the dependencies of

  In addition, in the determining apparatus 100 according to the embodiment, when the determining unit 132 determines that the amount of data of the licensed first business operator among the first data that the second data depends on is greater than or equal to a predetermined threshold, 2 Decide to allow the prescribed use of the data.

  As described above, when the determination apparatus 100 according to the embodiment determines that the amount of data of the licensed first business operator is equal to or greater than the predetermined threshold value among the first data that the second data depends on, the second data By deciding to permit predetermined usage, it is possible to enable usage of appropriate data reflecting data dependencies.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines that the sum of the data amounts of the plurality of licensed first businesses among the first data that the second data depends on is greater than or equal to a predetermined threshold. If there is, it is determined that the predetermined use of the second data is permitted.

  As described above, the determining apparatus 100 according to the embodiment determines that the sum of the data amounts of the plurality of licensed first businesses among the first data that the second data depends on is equal to or greater than the predetermined threshold value. By determining that the predetermined use of the second data is permitted, it is possible to enable the use of appropriate data reflecting the dependency of the data.

  In addition, in the determination apparatus 100 according to the embodiment, when the degree of contribution of the first data of the first enterprise who has granted the permission to the second data is equal to or more than the predetermined threshold, the determination unit 132 determines the second data. Decide to allow the use of

  Thus, the determining apparatus 100 according to the embodiment determines that the second data is used in a predetermined manner when the degree of contribution of the first data of the first enterprise who has granted the second data is greater than or equal to the predetermined threshold. By deciding to permit, it is possible to enable the use of appropriate data reflecting data dependencies.

  In addition, in the determination apparatus 100 according to the embodiment, when the total of the degree of contribution of the first data of the plurality of first businesses who have granted permission for the second data is equal to or more than the predetermined threshold, 2 Decide to allow the prescribed use of the data.

  As described above, the determining apparatus 100 according to the embodiment determines that the sum of the data amounts of the plurality of licensed first businesses among the first data that the second data depends on is equal to or greater than the predetermined threshold value. By determining that the predetermined use of the second data is permitted, it is possible to enable the use of appropriate data reflecting the dependency of the data.

  In addition, in the determination device 100 according to the embodiment, the determination unit 132 uses information on permission of the first business operators other than the first business operators whose first data does not satisfy the predetermined criteria among the plurality of first business operators. Decide accordingly.

  As described above, the determination apparatus 100 according to the embodiment determines the information according to the information on the permission of the first business operators other than the first business operators whose first data do not satisfy the predetermined criteria among the plurality of first business operators. By doing this, it is possible to make it possible to use appropriate data that reflects data dependencies.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines according to the information related to the permission of the first enterprise other than the first enterprise whose degree of influence on the second data does not satisfy the predetermined standard.

  As described above, the determination device 100 according to the embodiment determines the data by determining according to the information related to the permission of the first enterprise other than the first enterprise whose degree of influence on the second data does not satisfy the predetermined standard. It is possible to enable the use of appropriate data reflecting the dependency.

  In addition, in the determination apparatus 100 according to the embodiment, the determination unit 132 determines whether or not to use the second data outside the predetermined platform where each data is managed, according to the information related to the permission.

  As described above, the determining apparatus 100 according to the embodiment reflects the data dependency by determining whether the second data can be used outside the predetermined platform where each data is managed, according to the information related to the permission. Can make it possible to use appropriate data.

  Further, in the determining apparatus 100 according to the embodiment, the determining unit 132 determines whether or not the third business other than the second business who owns the second data can use the second data according to the information regarding permission. decide.

  Thus, the determining apparatus 100 according to the embodiment determines whether or not predetermined use of the second data by the third carrier other than the second carrier that owns the second data is performed according to the information related to the permission. By this, it is possible to make it possible to use appropriate data reflecting data dependencies.

[6. Hardware configuration]
The determination apparatus 100 according to the embodiment described above is realized by, for example, a computer 1000 configured as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the function of the determination device. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F). ) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 to control each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores a program executed by the CPU 1100, data used by the program, and the like. The communication interface 1500 receives data from another device via a predetermined network N, sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to the other device via the predetermined network N.

  The CPU 1100 controls an output device such as a display or a printer and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from an input device via the input / output interface 1600. The CPU 1100 also outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the CPU 1100 with the program via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a digital versatile disc (DVD) or a phase change rewritable disc (PD), a magneto-optical recording medium such as a magneto-optical disk (MO), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the determination device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing the program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via a predetermined network N.

  Although the embodiments of the present application have been described above in detail based on the drawings, these are only examples, and various modifications and improvements can be made based on the knowledge of those skilled in the art, including the embodiments described in the rows of the disclosure of the invention. It is possible to practice the invention in other forms as well.

[7. Other]
Further, among the processes described in the above-described embodiments, all or part of the process described as being automatically performed may be manually performed, or the process described as being manually performed. All or part of can be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above-mentioned documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

  Further, each component of each device illustrated is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of the distribution and integration of each device is not limited to the illustrated one, and all or a part thereof may be functionally or physically dispersed in any unit depending on various loads, usage conditions, etc. It can be integrated and configured.

  Moreover, it is possible to combine suitably each process described in each embodiment mentioned above in the range which does not contradict process content.

  In addition, the "section (module, unit)" described above can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition unit or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Decision system 100 Decision device 121 Carrier information storage unit 122 Lineage information storage unit 123 License information storage unit 130 Control unit 131 Acquisition unit 132 Determination unit 133 Transmission unit 20 Enterprise device 50 Cloud server PF Platform N Network

Claims (18)

An acquiring unit for acquiring lineage information indicating a dependency between each data associated with a business owner who owns each data;
The first business that owns the first data as to whether or not predetermined use of the second data, which is a model created based on the first data, among the data in the lineage information acquired by the acquisition unit A decision unit that decides according to the information on the license of the person,
The determination apparatus characterized by having. An acquiring unit that acquires lineage information indicating a dependency between the data associated with the enterprise that owns each data and that uses the platform service that is a predetermined service provided in the platform; ,
Among the data in the lineage information acquired by the acquisition unit, the first operator who owns the first data whether or not to use the second data depending on the first data outside the platform service A decision unit that decides according to the information on the permission of
The determination apparatus characterized by having. The determination unit is
It is determined whether or not to use the second data generated using the first data outside the platform service according to the information related to the permission of the first enterprise who owns the first data. The determination apparatus according to claim 2, wherein The determination unit is
The determination apparatus according to claim 2 or 3, wherein whether or not to use the second data outside the platform service is determined according to information on permission of a plurality of first businesses. The determination unit is
The determination apparatus according to claim 4, wherein it is determined that the second data is permitted to be used outside of the platform service if all of the plurality of first operators permit. The determination unit is
It is determined that the second data is permitted to be used outside of the platform service if a business operator having a predetermined threshold value or more among the plurality of first business operators grants permission. Decision device. The determination unit is
Among the first data dependent on the second data, when the data amount of the first business operator who has granted the permission is equal to or more than a predetermined threshold, using the second data outside the platform service The determination apparatus according to any one of claims 4 to 6, wherein it is determined to permit. The determination unit is
In the first data out of which the second data depends, if the sum of the data amounts of the plurality of first business operators who have granted the license is equal to or greater than a predetermined threshold, the second data is outside the platform service The determination apparatus according to claim 7, wherein it is determined that the use is permitted. The determination unit is
It is determined that the second data is permitted to be used outside the platform service if the degree of contribution of the first data of the first business operator who has granted the permission to the second data is equal to or greater than a predetermined threshold. The determination apparatus according to any one of claims 4 to 8, characterized in that. The determination unit is
Using the second data outside the platform service if the sum of contributions of the first data of the plurality of first businesses who have granted the second data is greater than or equal to a predetermined threshold value The determination apparatus according to claim 9, wherein it is determined to permit. The determination unit is
The method according to any one of claims 4 to 10, wherein, among the plurality of first businesses, the first data is determined according to the information related to the permission of the first businesses other than the first business that does not satisfy the predetermined criteria. The determination device according to any one of the items. The determination unit is
The influence degree to the said 2nd data determines according to the information regarding permission of 1st companies other than the 1st company which does not satisfy | fill a predetermined | prescribed reference | standard. It is characterized by the above-mentioned. Determination device. The determination unit is
The determination as set forth in any one of claims 2 to 12, wherein whether or not to use the second data outside the predetermined platform where the respective data is managed is determined according to the information related to the permission. apparatus. The determination unit is
It is determined according to the information related to the permission whether or not to use the second data outside the platform service by a third business operator other than the second business operator who owns the second data. Item 14. The determining device according to any one of items 2 to 13. A decision method that the computer executes,
An acquiring method for acquiring lineage information indicating a dependency between each data associated with a business owner who owns each data;
The first business that owns the first data as to whether or not predetermined use of the second data, which is a model created based on the first data, among the data in the lineage information acquired by the acquisition unit Decision method to decide according to the information about the license of the person,
The decision method characterized by including. An acquiring procedure for acquiring lineage information indicating a dependency between each data associated with a company that owns each data;
The first business that owns the first data as to whether or not predetermined use of the second data, which is a model created based on the first data, among the data in the lineage information acquired by the acquisition unit Decision procedure to decide according to the information about the license of the person,
A decision program for causing a computer to execute. A decision method that the computer executes,
An acquiring step of acquiring lineage information indicating a dependency between the data associated with the operator who owns each data and uses the platform service which is a predetermined service provided in the platform; ,
Among the data in the lineage information acquired in the acquisition step, the first operator who owns the first data whether or not to use the second data depending on the first data outside the platform service A decision process which is decided according to information on permission of
The decision method characterized by including. An acquiring procedure for acquiring lineage information indicating a dependency between each data associated with an enterprise that owns each data and is a predetermined service provided in the platform and that uses the platform service; ,
Among the data in the lineage information acquired by the acquisition procedure, the first operator who owns the first data whether or not to use the second data depending on the first data outside the platform service A decision procedure to decide according to the information on permission of
A decision program for causing a computer to execute.

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