A framework for context-sensitive metadata description

Authors:
Oleksiy Khriyenko;Vagan Terziyan
Affiliations:
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
Venue:
International Journal of Metadata, Semantics and Ontologies
Year:
2006

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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.