Fuzzy Rough Approach To Handling Imprecision In Semantic Web Ontologies

Mining and discovering ontological structures plays a major role in the semantic Web. As long as many domains in the semantic Web involve different sorts of imprecision, ontologies must be expressive enough to deal with imperfect information. Most of approaches to manage imprecision in ontologies deal either with probability or employ fuzzy set and fuzzy logic techniques for representing ontologies for intrinsically vague domains. The aim of this paper is to show how they can be complemented by rough set methods to capture another type of imprecision caused by approximation spaces. It is also demonstrated how different approaches to dealing with imprecision can be joined under the common umbrella of the generic framework for handling uncertainty in description logic