We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
In this paper, we present a reasoner capable of epistemic inferences in SROIQ knowledge bases. We first identify some counter intuitive effects of imposing the traditional semant...
Interpretation Reconciled Michael Leuschel1 Department of Computer Science, K.U. Leuven, Belgium DIKU, University of Copenhagen, Denmark fy the relationship between abstract inter...
Abstract. We aim to demonstrate that automated deduction techniques, in particular those following the model computation paradigm, are very well suited for database schema/query re...
Peter Baumgartner, Ulrich Furbach, Margret Gro&szl...
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...