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Titlebook: Logic Programming; 25th International C Patricia M. Hill,David S. Warren Conference proceedings 2009 Springer-Verlag Berlin Heidelberg 2009

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Merging Logic Programs under Answer Set Semanticsing the mergings of a multiset of logic programs within the same logic programming framework. As a by-product, we provide a complexity analysis revealing that our operators do not increase the complexity of the base formalism.
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Reducts of Propositional Theories, Satisfiability Relations, and Generalizations of Semantics of Logveals both common threads and differences between the FLP and stable-model semantics. We establish several properties of the FLP semantics. We apply a similar approach to define supported models for arbitrary propositional theories.
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A Tabling Implementation Based on Variables with Multiple Bindingsased implementations, and perform an experimental evaluation. We also recall the similarity between OR-parallelism and suspension-based implementations of tabling, and discuss similarities with the ., among others.
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Answer Set Programming with Constraints Using Lazy Groundingl framework for the implementation of extensions of Answer Set Programming. In this work, we demonstrate how non-ground arithmetic constraints can be easily introduced in the computation model. The paper provides preliminary experimental results which confirm the potential for this approach.
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0302-9743 USA, in July2009. The 29 revised full papers together with 9 short papers, 4 invited talks, 4 invited tutorials, and the abstracts of 18 doctoral consortium articles were carefully reviewed and selected from 69 initial submissions. The papers cover all issues of current research in logic programming
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A Knowledge Base System Project for FO(.)using the KB. The logic FO(.) used in the KBS is an extension of classical logic (FO) with various language primitives such as inductive definitions, aggregates, arithmetic, etc. The logic is a natural integration (and further extension) of classical logic and logic programming, and is based on the
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Enabling Serendipitous Search on the Web of Data Using Prologct. A number of more expressive formalisms (e.g., RDFS, OWL, SKOS) are layered on top of the core triple-model. The Web of Data has been developed to represent machine readable knowledge on the internet. Designed to deal with heterogeneous knowledge, the technology underlying the Web of Data is also
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