Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
This paper deals with the coupling of AROM, an objectbased knowledge representation with V-STORM, a multimedia presentation system. We propose an AROM knowledge base which constit...
Abstract. A nearest neighbor search procedure is presented, for retrieving resources in knowledge bases expressed in OWL. The procedure exploits a semidistance for annotated resour...
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Intelligent agents must update their knowledge base as they acquire new information about their environment. The modal logic S5n has been designed for representing knowledge bases...