Abstract: A data management system includes a processor. An estimated ETL level mapping processing unit is operated on the processor to estimate existence of unregistered ETL that is ETL not registered in a repository, to calculate a degree of similarity based on matching between an existing data model and retained data, and to extract a column to be a candidate based on the degree of similarity. The existence of the unregistered ETL is estimated by estimating the presence or absence of connectedness in the ETLs on the basis of correspondence between input data and output data in ETLs by using an execution ETL log relevant to an execution history of the ETL.

Abstract: A data inconsistency correction method to be applied is selected in consideration of a specification of a transaction, execution status of the transaction, and the like. A computer system includes a computer that executes a service, is connected to a computer that divides a transaction across a plurality of services into a plurality of local transactions and executes the plurality of local transactions, and holds service management information for managing a specification of the local transaction in the service and program management information for storing a program for correcting data inconsistency and data associated with an application condition. The computer system selects the program to be applied based on the service management information, the program management information, and execution states of the plurality of local transactions when a failure of the transaction is detected.

Abstract: A policy can be easily and appropriately set. A policy setting control device 100 that controls setting of a policy for controlling access to a resource includes a processor. The policy includes a resource to be accessed, a subject who accesses the resource, and an access operation. The processor receives an input policy 11 which is a candidate to be newly set, acquires an attribute value corresponding to values of a subject and a resource included in the input policy 11, generates one or more post-conversion policies 103 by changing the values of the subject and the resource included in the input policy 11 to the acquired attribute value, and sets the input policy as a new policy when all the generated post-conversion policies 103 are consistent with an existing policy.

Abstract: A tag domain presentation device holds a data usage log table that stores a department to which a user belongs, information about an application for each user, a search tag used by the application, data information corresponding to the search tag, a given tag corresponding to each data piece, and user evaluation information related to the given tag. The tag domain presentation device generates a usage viewpoint extraction log table that is filtered from a data usage viewpoint from a record of the data usage log table, and generates a usage tendency evaluation table from the usage viewpoint extraction log table based on usage information about the user and the application for each department of the data and the user evaluation information, and presents a search formula of the tag for each department common as a data usage viewpoint based on the information.

Abstract: A distributed transaction in which appropriate patterns are combined without modifying implementation of a management system even when a service characteristic of a participating system changes. A management system receives input of a distributed transaction flow defining respective call sequential numbers of participating systems and service characteristic information representing respective service characteristics of the participating systems. The management system specifies an applied pattern for each of the participating systems based on pattern information including information for each pattern that represents a constraint condition of a service characteristic of a participating system as a call target. The applied pattern is a pattern satisfying the constraint condition corresponding to the service characteristic of the participating system.

Abstract: A distributed transaction in which appropriate patterns are combined without modifying implementation of a management system even when a service characteristic of a participating system changes. A management system receives input of a distributed transaction flow defining respective call sequential numbers of participating systems and service characteristic information representing respective service characteristics of the participating systems. The management system specifies an applied pattern for each of the participating systems based on pattern information including information for each pattern that represents a constraint condition of a service characteristic of a participating system as a call target. The applied pattern is a pattern satisfying the constraint condition corresponding to the service characteristic of the participating system.

Abstract: A data management system includes a processor. An estimated ETL level mapping processing unit is operated on the processor to estimate existence of unregistered ETL that is ETL not registered in a repository, to calculate a degree of similarity based on matching between an existing data model and retained data, and to extract a column to be a candidate based on the degree of similarity. The existence of the unregistered ETL is estimated by estimating the presence or absence of connectedness in the ETLs on the basis of correspondence between input data and output data in ETLs by using an execution ETL log relevant to an execution history of the ETL.

Abstract: Reusable information is extracted from a result of executing a simulation of a plurality of models. A simulation management method for managing data for use in a simulation by a management device having a processor and a memory, the method including: executing a simulation using a model and data, by a simulator; extracting intermediate data indicating that an internal state of the model that is being simulated matches a predetermined state, by the management device; and holding the extracted intermediate data as useful intermediate data, by the management device.

Abstract: A computer system manages a data lake storing collected data, which is obtained from a data source, a data catalog storing first catalog data, and an asset catalog storing second catalog data. The computer system comprises: a catalog generation module configured to generate the data catalog, and the asset catalog; and a catalog link generation module configured to associate, in a case where at least one of the data catalog or the asset catalog is generated by the catalog generation module, the asset catalog and the data catalog with each other by adding, as an access key, a value that is stored in the first catalog data stored in the data catalog to the second catalog data stored in the asset catalog.

Abstract: The present invention maintains data consistency of an entire system. A distributed transaction system includes a service information management device that manages a service provided by each device existing in the distributed transaction system, a data consistency strategy management device that manages a data consistency strategy describing a strategy relating to data consistency maintenance in the distributed transaction system, a distributed transaction processing device that executes a distributed transaction, inquires the data consistency strategy management device and the service information management device after the execution of the distributed transaction, and outputs feedback information relating to data consistency maintenance on the basis of the data consistency strategy, the service information, and the execution result. One or more data consistency maintaining devices acquire the feedback information to execute a process relating to the data consistency maintenance.

Abstract: When performing a data migration of a first data store management system to a second data store management system, a data migration system receives a data migration rule, based on a data migration rule, converts a first data into a second data, acquires a first data model as a data model of the first data, acquires a second data model as a data model of the second data, and acquires a second program. Then, a data model conversion rule that causes the first data model to correspond to the second data model is generated based on the data migration rule, the first data model, and the second data model, and the second program is converted into a first program based on the data model conversion rule.

Abstract: When performing a data migration of a first data store management system to a second data store management system, a data migration system receives a data migration rule, based on a data migration rule, converts a first data into a second data, acquires a first data model as a data model of the first data, acquires a second data model as a data model of the second data, and acquires a second program. Then, a data model conversion rule that causes the first data model to correspond to the second data model is generated based on the data migration rule, the first data model, and the second data model, and the second program is converted into a first program based on the data model conversion rule.

Abstract: An analysis management server stores a factory A catalog group including a plurality of catalogs in factory A, an application destination catalog including a plurality of catalogs in factory B, and an application source analysis data correspondence table associating columns between a target table of factory A and a defect factor analysis table. A CPU is configured to: identify an unconnected catalog for which a catalog of factory B having an identical correspondence does not exist among the plurality of catalogs of factory A included in the application source analysis data correspondence table; identify an unconnected correspondence, which is a correspondence of the unconnected catalog in the application source analysis data correspondence table, sensor data of factory B, and an identical path correspondence which is a correspondence of a catalog on a path including the unconnected catalog; and display information of the unconnected correspondence and the identical path correspondence.

Abstract: A computer system manages a data lake storing collected data, which is obtained from a data source, a data catalog storing first catalog data, and an asset catalog storing second catalog data. The computer system comprises: a catalog generation module configured to generate the data catalog, and the asset catalog; and a catalog link generation module configured to associate, in a case where at least one of the data catalog or the asset catalog is generated by the catalog generation module, the asset catalog and the data catalog with each other by adding, as an access key, a value that is stored in the first catalog data stored in the data catalog to the second catalog data stored in the asset catalog.

Abstract: Reusable information is extracted from a result of executing a simulation of a plurality of models. A simulation management method for managing data for use in a simulation by a management device having a processor and a memory, the method including: executing a simulation using a model and data, by a simulator; extracting intermediate data indicating that an internal state of the model that is being simulated matches a predetermined state, by the management device; and holding the extracted intermediate data as useful intermediate data, by the management device.

Abstract: The present invention realizes reuse of an analysis application having different contexts such as data units and data acquisition times of on-site data in short man-hour without requiring specialized knowledge on an analyzed object. A data management system providing IoT data to a service system includes a storage device storing an asset catalog containing information of a manufacture line and devices constructing a manufacture line, an application catalog containing calculation information of a KPI as required by the service system, and a data catalog containing information for accessing the IoT data. A control unit retrieves an asset to be analyzed from the catalog, and when the KPI does not exist in the asset catalog, retrieves the KPI calculation information from the application catalog, and calculates a KPI of the asset to be analyzed as the KPI as the requirement specification of the service system by using the retrieved calculation information.

Abstract: An analysis management server stores a factory A catalog group including a plurality of catalogs in factory A, an application destination catalog including a plurality of catalogs in factory B, and an application source analysis data correspondence table associating columns between a target table of factory A and a defect factor analysis table. A CPU is configured to: identify an unconnected catalog for which a catalog of factory B having an identical correspondence does not exist among the plurality of catalogs of factory A included in the application source analysis data correspondence table; identify an unconnected correspondence, which is a correspondence of the unconnected catalog in the application source analysis data correspondence table, sensor data of factory B, and an identical path correspondence which is a correspondence of a catalog on a path including the unconnected catalog; and display information of the unconnected correspondence and the identical path correspondence.

Abstract: Proposed are a machine learning device and a machine learning method capable of performing machine learning in a short time and an efficient manner. For each learning target, image processing having a high learning effect regarding the learning target is set in advance. When image processing has been set regarding a learning target included in the image for each image based on teaching data set prepared in advance, a processed image of the image is generated by performing the image processing to that image. By learning a learning target with image data of the generated processed image as the teaching data, basic learning information configured from externally acquired basic learning results can be tuned.