Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
This paper introduces relaxed abduction, a novel non-standard reasoning task for description logics. Although abductive reasoning over description logic knowledge bases has been ap...
Abstract. We describe a declarative language, called BAD (brain architecture description language), which we have developed for describing and then running brain models. Models are...
We present an encoding that is able to specify LTL bounded model checking problems within the Bernays-Sch?onfinkel fragment of first-order logic. This fragment, which also correspo...
Description logics (DLs) are a well-understood family of knowledge representation (KR) languages. The notation of DLs has the flavour of a variable-free first order predicate lo...