Quantified equilibrium logic and hybrid rules
|dc.identifier.citation||Jos de Bruijn, David Pearce, Axel Polleres, Agustín Valverde "Massimo Marchiori, Jeff Z. Pan, Christian de Sainte Marie (editors) "Quantified equilibrium logic and hybrid rules", Proceedings of the First International Conference on Web Reasoning and Rule Systems (RR2007), 4524, Springer, 2007.||en|
|dc.description.abstract||In the ongoing discussion about combining rules and Ontologies on the Semantic Web a recurring issue is how to combine first-order classical logic with nonmonotonic rule languages. Whereas several modular approaches to de- fine a combined semantics for such hybrid knowledge bases focus mainly on decidability issues, we tackle the matter from a more general point of view. In this paper we show how Quantified Equilibrium Logic (QEL) can function as a unified framework which embraces classical logic as well as disjunctive logic programs under the (open) answer set semantics. In the proposed variant of QEL we relax the unique names assumption, which was present in earlier versions of QEL. Moreover, we show that this framework elegantly captures the existing modular approaches for hybrid knowledge bases in a unified way.||en|
|dc.title||Quantified equilibrium logic and hybrid rules||en|
|dc.local.publisherstatement||The original publication is available at www.springerlink.com||en|
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