Titlebook: Web Reasoning and Rule Systems; Second International Diego Calvanese,Georg Lausen Conference proceedings 2008 Springer-Verlag Berlin Heidel

無瑕疵

A Semantic Web Reasoner for Rules, Equations and Constraintsed and processed. Our system and general approach will be useful for other problems that need sophisticated constraint processing in addition to rule-based reasoning, or where new operations need to be added. The implementation is efficient enough to run on resource-constrained embedded systems such as software-defined radios.

孤獨(dú)無助

名字的誤用

blight

What Is Approximate Reasoning?ormally define such a foundation for approximate reasoning research. We will clarify – by means of notions from statistics – how different approximate algorithms can be compared, and ground the most fundamental notions in the field formally. We will also exemplify what a corresponding statistical comparison of algorithms would look like.

冷淡周邊

Paraconsistent Reasoning with Quasi-classical Semantic in , important proof rules such as modus tollens, modus ponens, and disjunctive syllogism. In this paper, we consider the characters of . with Quasi-classical semantics and develop a sound and complete tableau algorithm for paraconsistent reasoning in ..

發(fā)炎

inquisitive

流出

Semantics and Reasoning Algorithms for a Faithful Integration of Description Logics and Ruleserent semantic framework, and shall discuss the main challenges in achieving a tight integration. I shall present an overview of the approaches currently discussed in literature. Finally, I shall present in more detail the approach that is based on the nonmonotonic logic MKNF by Lifschitz. This appr

nephritis

創(chuàng)新

On Combining Description Logic Ontologies and Nonrecursive Datalog Rulesmbinations of Description Logics and Datalog in which reasoning is undecidable. Then, we present new results on the decidability and complexity of the so-called . (or .) integration of DL ontologies and Datalog rules. Our results show that: (1) the unrestricted interaction between DLs and Datalog is