Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
We introduce a general formalism of production inference relations that posses both a standard monotonic semantics and a natural nonmonotonic semantics. The resulting nonmonotonic...
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
T his paper outlines a formal theory for de fining action concepts in taxonomical knowledge representation languages, in a form closely related to description logics. The central p...