Detail

Publication date: 1 de June, 2021

A Coherent Well-founded Model for Hybrid MKNF Knowledge Bases

With the advent of the Semantic Web, the question becomes important how to best combine open-world based ontology languages, like OWL, with closed-world rules paradigms. One of the most mature proposals for this combination is known as Hybrid MKNF knowledge bases, which is based on an adaptation of the stable model semantics to knowledge bases consisting of ontology axioms and rules. We propose a well-founded semantics for such knowledge bases which promises to provide better efficiency of reasoning, which is compatible both with the OWL-based semantics and the tradititional well-founded semantics for logic programs, and which surpasses previous proposals for such a well-founded semantics by properly handling possible occuring inconsistencies.

Presenter


Date 08/01/2009
State Concluded
Host Bio Bachelor in Computer Science from TU Dresden in 2003; European Master in Computational Logic from UNL and TUD in 2006; currently PhD student at UNL