Add to ORKGAccessing 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
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Nowadays, there are a huge number of autonomous and diverse information sources providing heterogene...
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the n...
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...
Visualization technologies provide means to comprehend, understand and explore data. Observing patt...
In this paper we present a new tool for semantic analytics through 3D visualization called “Semantic...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
Data exploration and visualization systems are of great importance in the Big Data era. Exploring an...
The domain big data reached a productive status in recent years and is progressively being used. How...
Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often de...
A semantic graph is a network of heterogeneous nodes and links annotated with a domain ontology. In ...
Semantic web technologies are gaining renewed interest since data indexing, layered on top of a trad...
Big data management is no longer an issue for large enterprises only; it has also become a challenge...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Nowadays, there are a huge number of autonomous and diverse information sources providing heterogene...
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the n...
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...
Visualization technologies provide means to comprehend, understand and explore data. Observing patt...
In this paper we present a new tool for semantic analytics through 3D visualization called “Semantic...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big ...
Data exploration and visualization systems are of great importance in the Big Data era. Exploring an...
The domain big data reached a productive status in recent years and is progressively being used. How...
Value creation in an organisation is a time-sensitive and data-intensive process, yet it is often de...
A semantic graph is a network of heterogeneous nodes and links annotated with a domain ontology. In ...
Semantic web technologies are gaining renewed interest since data indexing, layered on top of a trad...
Big data management is no longer an issue for large enterprises only; it has also become a challenge...
Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources...
Nowadays, there are a huge number of autonomous and diverse information sources providing heterogene...
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the n...