Accessing and contextual semantic searching structured, semi-structured and unstructured information resources and their ontology based analysis in a uniform way across text-free Big Data query implementation is a main feature of approach under discussion. To increase the semantic power of query results’ analysis the ontology based implementation of multiplatform adaptive tools of scientific visualization are demonstrated. The ontologies are used not for integration of heterogeneous resources in traditional way but for parallel analysis of recourses and its related ontologies to achieve the effect of a virtual integration
The domain big data reached a productive status in recent years and is progressively being used. How...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Semantic web technologies are gaining renewed interest since data indexing, layered on top of a trad...
Accessing and contextual semantic searching structured, semi-structured and unstructured information...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Da...
Big data a term coined due to the explosion in the quantity and diversity of high frequency digital ...
While big data analytics is considered as one of the most important paths to competitive advantage o...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
© Published under licence by IOP Publishing Ltd. An approach to data integration, aimed on the ontol...
Dealing with big data at present involves several procedures, including storage, processing, indexin...
Big Data deals with the sets of information (structured, unstructured, or semi structured) so large...
Nowadays, there are a huge number of autonomous and diverse information sources providing heterogene...
Big Data deals with the sets of information (structured, unstructured, or semi structured) so large...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
The domain big data reached a productive status in recent years and is progressively being used. How...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Semantic web technologies are gaining renewed interest since data indexing, layered on top of a trad...
Accessing and contextual semantic searching structured, semi-structured and unstructured information...
Abstract. Data access in an enterprise setting is a determining factor for the potential of value cr...
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Da...
Big data a term coined due to the explosion in the quantity and diversity of high frequency digital ...
While big data analytics is considered as one of the most important paths to competitive advantage o...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
© Published under licence by IOP Publishing Ltd. An approach to data integration, aimed on the ontol...
Dealing with big data at present involves several procedures, including storage, processing, indexin...
Big Data deals with the sets of information (structured, unstructured, or semi structured) so large...
Nowadays, there are a huge number of autonomous and diverse information sources providing heterogene...
Big Data deals with the sets of information (structured, unstructured, or semi structured) so large...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
The domain big data reached a productive status in recent years and is progressively being used. How...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Semantic web technologies are gaining renewed interest since data indexing, layered on top of a trad...