Abstract: Persistence and linking of analytic products is provided. Information regarding a plurality of analytic methods is collected. A first process node is generated in a network. The first process node corresponds to a first analytic method. Information is collected regarding a plurality of executions of the first analytic method. A plurality of session nodes is generated in the network corresponding to the plurality of executions. Each of the plurality of session nodes is linked to the first process node. Metadata regarding the plurality of executions is associated with the plurality of session nodes. At least one product node is generated corresponding to a product. The product integrates a result value of at least one of the plurality of executions. The at least one product node is linked to the session node of the plurality of session nodes corresponding to the at least one of the plurality of executions.

Abstract: Persistence and linking of analytic products is provided. Information regarding a plurality of analytic methods is collected. A first process node is generated in a network. The first process node corresponds to a first analytic method. Information is collected regarding a plurality of executions of the first analytic method. A plurality of session nodes is generated in the network corresponding to the plurality of executions. Each of the plurality of session nodes is linked to the first process node. Metadata regarding the plurality of executions is associated with the plurality of session nodes. At least one product node is generated corresponding to a product. The product integrates a result value of at least one of the plurality of executions. The at least one product node is linked to the session node of the plurality of session nodes corresponding to the at least one of the plurality of executions.

Abstract: Embodiments are described for a method of distributing n-tuples over a cluster of triple-store machines, by storing each n-tuple as text in a distributed file system using a key value store; providing each machine of the cluster with a resident semantic data lake component accessing one or more persistent RDF triplestores for the n-tuple data stored on each machine; and defining one part of each n-tuple as a partition variable to ensure locality of data within each respective n-tuple. A method includes inserting graphs into a key/value store to determine how the key/value store distributes the data across a plurality of servers, by generating textual triple data, and storing the triple data in key-value stores wherein a fourth element of the triple comprises the key, and a value associated with the key comprises all the triples about a subject; indexing the data in the key-value store in an RDF triplestore using a partition based on the fourth element.

Abstract: Systems and method to aid in the collection, representation and mining of data are disclosed. More particularly, embodiments as disclosed may utilize a unifying format to represent data obtained or utilized by a system to facilitate linking between data from different sources and the commensurate ability to mine such data. Specifically, embodiments may represent data as graphs that comprise the concepts and relationships between those concepts. In this manner, concepts in graphs that represent distinct groupings of data may be mapped and knowledge mining with respect to these graphs facilitated.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.

Abstract: Persistence and linking of analytic products is provided. Information regarding a plurality of analytic methods is collected. A first process node is generated in a network. The first process node corresponds to a first analytic method. Information is collected regarding a plurality of executions of the first analytic method. A plurality of session nodes is generated in the network corresponding to the plurality of executions. Each of the plurality of session nodes is linked to the first process node. Metadata regarding the plurality of executions is associated with the plurality of session nodes. At least one product node is generated corresponding to a product. The product integrates a result value of at least one of the plurality of executions. The at least one product node is linked to the session node of the plurality of session nodes corresponding to the at least one of the plurality of executions.

Abstract: Embodiments are described for a method of distributing n-tuples over a cluster of triple-store machines, by storing each n-tuple as text in a distributed file system using a key value store; providing each machine of the cluster with a resident semantic data lake component accessing one or more persistent RDF triplestores for the n-tuple data stored on each machine; and defining one part of each n-tuple as a partition variable to ensure locality of data within each respective n-tuple. A method includes inserting graphs into a key/value store to determine how the key/value store distributes the data across a plurality of servers, by generating textual triple data, and storing the triple data in key-value stores wherein a fourth element of the triple comprises the key, and a value associated with the key comprises all the triples about a subject; indexing the data in the key-value store in an RDF triplestore using a partition based on the fourth element.

Abstract: Embodiments of an informatics platform where collected data can be normalized, integrated and mapped to a knowledge source, such as medical vocabulary systems are disclosed. One example of such a knowledge source is Unified Medical Language System (UMLS) which is a knowledge source for biomedical applications. Embodiments as depicted herein may provided a method to convert the desired information from UMLS into an ontology representation to allow for its use in conjunction with an informatics system.

Abstract: Embodiments are described for a method of distributing n-tuples over a cluster of triple-store machines, by storing each n-tuple as text in a distributed file system using a key value store; providing each machine of the cluster with a resident semantic data lake component accessing one or more persistent RDF triplestores for the n-tuple data stored on each machine; and defining one part of each n-tuple as a partition variable to ensure locality of data within each respective n-tuple. A method includes inserting graphs into a key/value store to determine how the key/value store distributes the data across a plurality of servers, by generating textual triple data, and storing the triple data in key-value stores wherein a fourth element of the triple comprises the key, and a value associated with the key comprises all the triples about a subject; indexing the data in the key-value store in an RDF triplestore using a partition based on the fourth element.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.

Abstract: Embodiments of an informatics platform where collected data can be normalized, integrated and mapped to a knowledge source, such as medical vocabulary systems are disclosed. One example of such a knowledge source is Unified Medical Language System (UMLS) which is a knowledge source for biomedical applications. Embodiments as depicted herein may provided a method to convert the desired information from UMLS into an ontology representation to allow for its use in conjunction with an informatics system.

Abstract: Embodiments are described for a method of distributing n-tuples over a cluster of triple-store machines, by storing each n-tuple as text in a distributed file system using a key value store; providing each machine of the cluster with a resident semantic data lake component accessing one or more persistent RDF triplestores for the n-tuple data stored on each machine; and defining one part of each n-tuple as a partition variable to ensure locality of data within each respective n-tuple. A method includes inserting graphs into a key/value store to determine how the key/value store distributes the data across a plurality of servers, by generating textual triple data, and storing the triple data in key-value stores wherein a fourth element of the triple comprises the key, and a value associated with the key comprises all the triples about a subject; indexing the data in the key-value store in an RDF triplestore using a partition based on the fourth element.

Abstract: Embodiments are described for a method of distributing n-tuples over a cluster of triple-store machines, by storing each n-tuple as text in a distributed file system using a key value store; providing each machine of the cluster with a resident semantic data lake component accessing one or more persistent RDF triplestores for the n-tuple data stored on each machine; and defining one part of each n-tuple as a partition variable to ensure locality of data within each respective n-tuple. A method includes inserting graphs into a key/value store to determine how the key/value store distributes the data across a plurality of servers, by generating textual triple data, and storing the triple data in key-value stores wherein a fourth element of the triple comprises the key, and a value associated with the key comprises all the triples about a subject; indexing the data in the key-value store in an RDF triplestore using a partition based on the fourth element.

Abstract: Systems and method to aid in the collection, representation and mining of data are disclosed. More particularly, embodiments as disclosed may utilize a unifying format to represent data obtained or utilized by a system to facilitate linking between data from different sources and the commensurate ability to mine such data. Specifically, embodiments may represent data as graphs that comprise the concepts and relationships between those concepts. In this manner, concepts in graphs that represent distinct groupings of data may be mapped and knowledge mining with respect to these graphs facilitated.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.

Abstract: Embodiments of an informatics platform where collected data can be normalized, integrated and mapped to a knowledge source, such as medical vocabulary systems are disclosed. One example of such a knowledge source is Unified Medical Language System (UMLS) which is a knowledge source for biomedical applications. Embodiments as depicted herein may provided a method to convert the desired information from UMLS into an ontology representation to allow for its use in conjunction with an informatics system.

Abstract: Systems and method to aid in the collection, representation and mining of data are disclosed. More particularly, embodiments as disclosed may utilize a unifying format to represent data obtained or utilized by a system to facilitate linking between data from different sources and the commensurate ability to mine such data. Specifically, embodiments may represent data as graphs that comprise the concepts and relationships between those concepts. In this manner, concepts in graphs that represent distinct groupings of data may be mapped and knowledge mining with respect to these graphs facilitated.

Abstract: Embodiments of methods and systems for informatics systems are disclosed. Such informatics systems may utilize a unifying format to represent text to facilitate linking between data from the text and one or more ontologies, and the commensurate ability to mine such data.