Representation of context dependent knowledge in the Semantic Web is becoming a
recognized issue and a number of DL-based formalisms have been proposed in this regard …

The Semantic Web is an initiative of turning the Web into a global, distributed repository of
machine-understandable information. The machine-understandability, or equivalently, the …

Describing big data problems and solutions in a formal language can accelerate the
innovation and development across many sectors to launch smarter services and …

The capability of dealing with context sensitive knowledge is recognized as a crucial aspect
in the management of massive amounts of Semantic Web (SW) data. Contextual knowledge …

Representing and reasoning on contexts is an open problem in the semantic web. Despite
the fact that context representation has for a long time been treated locally by semantic web …

Abstract Information systems are most often the main focus when considering applications of
Big Data technology. However, the energy domain is more than suitable also given the …

Dealing with context-sensitive information is a crucial aspect in the management of semantic
web data. Despite the importance of this topic, there is so far no accepted consensus …

Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is
identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge …

Description Logics (DLs) are a family of logic-based formalisms for the representation of and
reasoning about knowledge. Classical DLs are fragments of first-order logic and therefore …

Contextual knowledge representation and reasoning is an old issue in the semantic web.
Despite the fact that context representation has for a long time been treated locally by many …