Abstract. We present a categorical denotational semantics for a database mapping, based on views, in the most general framework of a database integration/exchange. Developed databa...
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
The term ‘Session Fixation vulnerability’ subsumes issues in Web applications that under certain circumstances enable the adversary to perform a Session Hijacking attack throu...
Martin Johns, Bastian Braun, Michael Schrank, Joac...
Techniques for computation on generalized diagrams are defined and the KM implications are explored. Descriptive Computing is presented and plan computation based on world models t...