Many visualization frameworks for ontologies in general and for concept expressions in particular are too faithful to the syntax of the languages in which those objects are represe...
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Abstract This paper analyzes the probabilistic description logic PSHIQ by looking at it as a fragment of probabilistic first-order logic with semantics based on possible worlds. We...
The use of Description Logic as the basis for Semantic Web Languages has led to new requirements with respect to scalable and nonstandard reasoning. In this paper, we address the p...
Abstract. We describe two methods on the basis of which efficient resolution decision procedures can be developed for a range of description logics. The first method uses an orderi...