Article Abstract

	Title:	A framework for context-sensitive metadata description
	Author:	Oleksiy Khriyenko, Vagan Terziyan
	Address:	Industrial Ontologies Group, Agora Center, University of Jyvaskyla, P.O. Box 35, FIN-40014, Jyvaskyla, Finland. ' Industrial Ontologies Group, MIT Department, University of Jyvaskyla, P.O. Box 35, FIN-40014, Jyvaskyla, Finland
	Journal:	International Journal of Metadata, Semantics and Ontologies 2006 - Vol. 1, No.2  pp. 154 - 164
	Abstract:	Expectations regarding the new generation of Web depend on the success of Semantic Web technology. Resource Description Framework (RDF) is a basis for explicit and machine-readable representation of semantics. However RDF is not suitable for describing dynamic and context-sensitive resources (eg. processes). We present the Context Description Framework (CDF) as an extension of the RDF by adding a 'TrueInContext' component to the basic RDF triple ('subject-predicate-object'), and consider contextual value as a container of RDF statements. We also add a probabilistic component, which allows multilevel contextual dependence descriptions as well as presumes possibility for Bayesian reasoning with the RDF model.
	Keywords:	semantic Web; context-sensitive metadata description; probabilistic context; RDF contextual extension; resource description framework; semantics.
	DOI:	10.1504/IJMSO.2006.011011
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