Abstract: A method for determining metadata propagation generated by an Extract, Transfer, Load (ETL) process. The method may include categorizing metadata given to data sources to generalize the metadata and categorizing the ETL process to generalize the ETL process; defining propagation rules for the generalized metadata and generalized ETL process; and generating metadata for ETL-converted data based on the categorization of the generalized metadata and generalized ETL process, and corresponding ones of the propagation rules.

Abstract: A method for supply chain construction. The method may include, for receipt of a search for a specified company, obtaining a supplier list and sales information for a plurality of companies associated with the specified company; tracing purchased components and suppliers of the purchased components by item category from supplier-buyer relationship in the supplier list to generate a supply web; calculating sales ratios using the supplier-buyer relationship and the sales information; calculating component probability of the purchased components in association with a plurality of products by using the sales ratios, wherein each of the plurality of product is formed from a number of the purchased components; estimating product-component relationship using the supply web and the component probability for the plurality of products and the purchased components; and generating product specific supply chain associated with the purchased components and the suppliers for the specified company.

Abstract: Example implementations described herein are directed to systems and methods for selecting a prediction target node in creating a data flow. Systems and methods can involve a data flow editing interface, configured to, for receipt of an input node for an editing data flow in the data flow editing interface, determine a recommendation of a target node and a next node to be added to the data flow based on metadata, relevance of a data source for the data flow, location information of each node on the data flow, and similarity of the editing data flow to past flows that are previously executed data flows; and provide the recommendation of the target node and the next node on the data flow editing interface.

Abstract: Among pieces of attribute information contained in a document, user-designated attribute information and other attribute information that may give additional value to the user-designated attribute information are accurately and efficiently presented.

Abstract: Example implementations described herein involve extracting keywords and dependency information from a text; and generating a co-occurrence dictionary for the text, the generating the co-occurrence dictionary involving selecting ones of the keywords for inclusion in the co-occurrence dictionary based on a number of times the ones of the keywords satisfy the dependency rules; determining for the selected ones of the keywords included in the co-occurrence dictionary, surrounding words to be associated with the selected ones of the keywords in the co-occurrence dictionary based on a number of instances of co-occurrence of the surrounding words with the selected ones of the keywords; and generating weights for each of the selected ones of the keywords in the co-occurrence dictionary based on a number of the surrounding words associated with the selected ones of the keywords.

Abstract: Systems and methods described herein involve a meta-graph management configured to link external data source to another external data mart through a data management platform which can involve managing characteristics of one or more tables of the data source and the data mart and a temporary table based on columns, managing characteristics of one or more Input data and Output data of data processing from the data source to the data mart based on columns; managing relationships of characteristics between data and data processing for the data source and the data mart based on the columns; managing one or more data flows between the data source and the data mart that include data, data processing, and relationships; and providing data, data processing, and relationships between the data source and the data mart for each data flow.

Abstract: A technology is disclosed that makes it possible even for an analyst, who has poor knowledge relating to field data, to select and use analysis data in analysis. A data catalog automatic generation system that generates a catalog tag to be used to select analysis data from collected field data is configured such that, based on a set classification rule input, a relationship between an objective variable as an analysis perspective relating to field data and an explanatory variable or a causal relationship between a plurality of the explanatory variables is extracted, and based on a result of the extraction, a catalog tag of the objective variable and a catalog tag of the explanatory function are specified and attached.

Abstract: Example implementations described herein involve extracting keywords and dependency information from a text; and generating a co-occurrence dictionary for the text, the generating the co-occurrence dictionary involving selecting ones of the keywords for inclusion in the co-occurrence dictionary based on a number of times the ones of the keywords satisfy the dependency rules; determining for the selected ones of the keywords included in the co-occurrence dictionary, surrounding words to be associated with the selected ones of the keywords in the co-occurrence dictionary based on a number of instances of co-occurrence of the surrounding words with the selected ones of the keywords; and generating weights for each of the selected ones of the keywords in the co-occurrence dictionary based on a number of the surrounding words associated with the selected ones of the keywords.

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 first system receives values with identifiers of the values from one or more clients. The first system enters the values sequentially into a first data store. The first system associates each of the values with a sequence ID indicating a position in entry sequence of the values into the first data store. The first system transmits a first identifier of a first value and a first sequence ID associated with the first value to a second system. The first system transmits the first sequence ID and the first value to the second system after transmitting the first identifier and the first sequence ID. The second system holds the first identifier and the first sequence ID transmitted from the first system in a first queue. The second system enters the first value received after the first identifier from the first system into a second data store.

Abstract: An object of the present invention is to acquire exact related data in short time. The present invention relates to a data management system, the data management system is configured by a computer provided with an arithmetic unit that executes predetermined processing and a storage connected to the arithmetic unit, and the data management system is provided with a presentation unit that presents relationship between tags to a user and accepts selection of the relationship between tags and a determination unit that determines related data to be recommended on the basis of tags applied to data acquired in retrieval, referring to the selected relationship between tags.

Abstract: A model creation supporting system executes: learning processing to create an inference model by performing machine learning on pieces of training data so as to specify a feature of each piece of the data, the inference model being designed to infer a label to be set to a piece of input data based on a feature of the piece of input data; and evaluation processing to determine validity of inference of the label in accordance with the inference model by determining a similarity between a feature of a given piece of data specified by inputting the given piece of data to the created inference model and the feature of one of the pieces of training data specified by the machine learning, and to output information indicating a content of the determination.

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: Among pieces of attribute information contained in a document, user-designated attribute information and other attribute information that may give additional value to the user-designated attribute information are accurately and efficiently presented.

Abstract: A technology is disclosed that makes it possible even for an analyst, who has poor knowledge relating to field data, to select and use analysis data in analysis. A data catalog automatic generation system that generates a catalog tag to be used to select analysis data from collected field data is configured such that, based on a set classification rule input, a relationship between an objective variable as an analysis perspective relating to field data and an explanatory variable or a causal relationship between a plurality of the explanatory variables is extracted, and based on a result of the extraction, a catalog tag of the objective variable and a catalog tag of the explanatory function are specified and attached.

Abstract: An object of the present invention is to acquire exact related data in short time. The present invention relates to a data management system, the data management system is configured by a computer provided with an arithmetic unit that executes predetermined processing and a storage connected to the arithmetic unit, and the data management system is provided with a presentation unit that presents relationship between tags to a user and accepts selection of the relationship between tags and a determination unit that determines related data to be recommended on the basis of tags applied to data acquired in retrieval, referring to the selected relationship between tags.

Abstract: The present invention relates to a distributed processing system having a master node and a plurality of worker nodes. Each worker node has an assigned identifier. A worker node caches in its own memory first output data, which is the result of the execution of a first task, and copies said first output data to another worker node. The master node selects, on the basis of the identifier information of the first worker node, a worker node to which to assign a second task, wherein the first output data is used as input data.

Abstract: A first system receives values with identifiers of the values from one or more clients. The first system enters the values sequentially into a first data store. The first system associates each of the values with a sequence ID indicating a position in entry sequence of the values into the first data store. The first system transmits a first identifier of a first value and a first sequence ID associated with the first value to a second system. The first system transmits the first sequence ID and the first value to the second system after transmitting the first identifier and the first sequence ID. The second system holds the first identifier and the first sequence ID transmitted from the first system in a first queue. The second system enters the first value received after the first identifier from the first system into a second data store.

Abstract: The present invention relates to a distributed processing system having a master node and a plurality of worker nodes. Each worker node has an assigned identifier. A worker node caches in its own memory first output data, which is the result of the execution of a first task, and copies said first output data to another worker node. The master node selects, on the basis of the identifier information of the first worker node, a worker node to which to assign a second task, wherein the first output data is used as input data.

Abstract: A plurality of nodes includes an I/O (Input/Output) node and a plurality of computation nodes. Each computation node sends an I/O request to the I/O node. The I/O node includes a first storage device which stores data to be written or read according to the I/O request and a first memory device on which a first cache area is based to temporarily store the data written in the first storage device or read from the first storage device. The computation node includes a second memory device on which the second cache area is based to temporarily store the data according to the I/O request. At least one of the I/O node and the computation node stores management information which contains information on a physical storage area in the cache area of the other one of the I/O node and the computation node, and information on a virtual storage area which is associated with the physical storage area and has a part of its own cache area.