Introducing Context into Semantic Web Knowledge Bases

Knowledge Representation in the Semantic Web is mainly characterized by the capabilities of the languages OWL and RDF. When attacking non-trivial problems such as the creation and maintenance of large-scale knowledge bases in RDF, it becomes evident that RDF lacks a central feature, namely the capability of restricting the truth value of a statement to a context, with far-reaching consequences which we will hint at in this paper. We propose a solution approach to this problem: the extension of RDF knowledge bases with context features. We will present theoretical background, envisioned experiments as well as a comparative study based on two technically di erent approaches, and illustrate the applications and bene ts of contextual Knowledge Representation in the Semantic Web.