International Business Machines Corporation

Patrick Dantressangle

Graham Anthony Bent

David R Vyvyan

Simon Laws

Peter Wooldridge

Martin Oberhofer

Michael Wurst

Paul D Stone

Eberhard Hechler

Christopher R Gibson

Thomas J C Berman

Stacey H Ronaghan

Adrian C F Lee

Bishwaranjan Bhattacharjee

Curt Lee Cotner

Julian Timothy Dolby

Charles Daniel Wolfson

Kavitha Srinivas

Paul Miller Bird

Octavian Udrea

Mihaela Ancuta Bornea

Flavio Alvarenga Bergamaschi

John Bryan Ibbotson

David George Radley

Paul David Stone

A method and associated system. Multiple virtual triples for an entity of multiple entities identified within a first data source are generated. Each virtual triple consists of a subject, a predicate, and an object. The subject is the entity. The predicate is a relationship between the entity and other entities identified within the first data source. The object is associated with an attribute of the entity. The subject, the predicate, and the object are each identified within the first data source. A degree of similarity between two entities of the two or more entities is identified by comparing the respective frequency metrics of the two entities. The two entities within the data structure are associated in response to a determination that an identified degree of similarity between the two entities exceeds a first predetermined threshold.

Data processing

A method of operating a hypercube network of processing devices includes determining that a plurality of the processing devices are storing data to be processed at a single processing device, obtaining the addresses of the plurality of processing devices storing the data to be processed, determining the most common number for each digit of the addresses of the plurality of processing devices storing the data to be processed, generating a new address comprising the determined most common number for each digit, and transferring the data to be processed to the processing device with the generated new address.

Optimising data transmission in a hypercube network

Methods and systems may provide for technology to conduct a machine learning analysis of data access statistics with respect to a plurality of separate datasets and determine a time-dependent access pattern based on the machine learning analysis, wherein the time-dependent access pattern includes an expert access trend, a curation access trend and a knowledgebase access trend. The technology may also generate one or more data management recommendations with response to the plurality of separate datasets based on the time-dependent access pattern.

Data forecasting based on machine learning analysis of data access statistics

A method and associated system. Entities within a first data source are identified. For each entity identified within the first data source, attributes of the entity identified within the first data source and/or relationships between the entity identified within the first data source and other entities identified within the first data source are identified. The attributes and/or relationships identified within the first data source are associated with a first entity identified within a data structure. For each entity identified within the first data source, a frequency metric characterizing the entity identified within the first data source is generated. The frequency metric is based on a frequency at which each attribute and/or relationship identified within the first data source is associated with the entity identified within the first data source. A degree of similarity between two entities of the entities is identified, by comparing the frequency metrics of the two entities.

A method to search for at least one relationship pattern in a plurality of runtime artifacts is provided. The method may include detecting at least one data manipulation statement in the plurality of runtime artifacts. The method may also include extracting at least one relationship clause from the detected at least one data manipulation statement. The method may further include parsing the extracted at least one relationship clause. The method may include generating at least one normalized syntax tree based on the parsed at least one relationship clause. The method may also include performing a classification and a snippet discovery on the generated at least one normalized syntax tree.

Bootstrapping the data lake and glossaries with 'dataset joins' metadata from existing application patterns

This invention relates to a system, method and computer program product for replicating triplestore data from generic data records including: a plurality of triplestore mapping operations; a record reader for listening for data events from the generic data record and for matching each data event to one or more triplestore mapping operations; a processor for generating equivalent triples for each located data event by applying the matched triplestore mapping operation; and a data sink for receiving generated equivalent triples so that the triplestore data is synchronized in real time with the generic data records.

Triplestore replicator

At least one user table in a relational database management system (RDBMS) using a first operator within a structured query language (SQL) command is identified. The first operator within the SQL command is utilized to transfer one or more data items from the at least one user table to a data array within the RDBMS. The data array is processed within the RDBMS, and one or more output values are generated based on the processing.

Data management in relational databases

Method and system are provided for assessing response routes in a network of connected nodes wherein a querying node propagates a query through multiple routes of intermediate nodes to a data source node and the data source node returns data to the querying node. The method at a data source node may include: receiving a query instance including metadata with route information of the route of intermediate nodes in the network that the query instance has travelled through from a querying node to the data source node; comparing the route information to a route policy; and responding to a query instance which meets the route policy by returning the query response via the route of intermediate nodes of the query instance.

Assessing response routes in a network

A query is propagated from a querying node to a destination node in a network of connected nodes, where at least one node is designated as a delay node. A query is transmitted from the querying node to one or more connected nodes in the network of connected nodes. One or more nodes, from the one or more connected nodes, are designated as delay nodes, wherein delay nodes apply delays to the query before retransmitting the query to other nodes from the one or more connected nodes. Upon receiving the query, each node, from the one or more connected nodes, retransmits the query to another one or more nodes from the one or more connected nodes. The query is repeatedly received and retransmitted by the connected nodes until the query is received at the destination node.

Propagating a query in a network

A database query is received that includes a logical query indicator at a distributed database node within a distributed network of databases. The logical query indicator includes at least one physical database query and at least one database node identifier that allows at least one distributed database node to identify at least one physical database to execute the physical database query against. It is determined that the at least one database node identifier matches a local node identifier. The at least one physical database query is executed against at least one local physical database table. A local query response is formed including data retrieved from the at least one local physical database table. The database query is responded to with at least the local query response.

Node-level sub-queries in distributed databases

A database query is received that includes a logical query indicator at a distributed database node within a distributed network of databases. The logical query indicator includes at least one physical database query and at least one database node identifier that allows at least one distributed database node to identify at least one physical database to execute the physical database query against. It is determined that the at least one database node identifier matches a local node identifier. The at least one physical database query is executed against at least one local physical database table. A local query response is formed including data retrieved from the at least one local physical database table. The database query is responded to with at least the local query response. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

Various embodiments of the invention relate to optimizing storage of schema-less data. A schema-less dataset including a plurality of resources is received. Each resource is associated with at least a plurality of properties. At least one set of co-occurring properties from the plurality of properties is identified. A graph including a plurality of nodes is generated. Each of the nodes represents a unique property in the set of co-occurring properties. The graph further includes an edge connecting each node representing a pair of co-occurring properties. A graph coloring operation is performed on the graph. The graph coloring operation includes assigning each of nodes to a color, where nodes connected by an edge are assigned different colors. A schema is generated that assigns a column identifier from a table to each unique property represented by one of the nodes in the graph based on the color assigned to the node.

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Chandlers Ford, United Kingdom

Patrick Dantressangle