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Reasoning Theory for D3L with Compositional Bridge Rules

机译:具有组合桥规则的D3L推理理论

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The semantic mapping in Distributed Dynamic Description Logics (D3L) allows knowledge to propagate from one ontology to another. The cur rent research for knowledge propagation in D3L is only for a simplified case when only two ontologies are involved. In this paper we study knowledge prop agation in more complex cases. We find in the case when more than two ontol ogies are involved and bridge rules form chains, knowledge does not always propagate along chains of bridge rules even if we would expect it. Inspired by Package-based description Logics, we extend the original semantics of D3L by imposing so called compositional consistency condition on domain relations in D3L interpretations. Under this semantics knowledge propagates along chains of bridge rules correctly. Furthermore we provide a distributed Tableaux rea soning algorithm for deciding satisfiability of concepts which is decidable in D3L under compositional consistency. Compared with original one, the ex tended D3L provides more reasonable logic foundation for distributed, dynamic system such as the information integration system and the Semantic Web.
机译:分布式动态描述逻辑(D3L)中的语义映射允许知识从一种本体传播到另一种本体。仅在涉及两个本体的情况下,D3L中知识传播的当前研究仅用于简化情况。在本文中,我们研究了更复杂情况下的知识传播。我们发现,当涉及两个以上的本体并且桥规则形成链时,即使我们期望知识也不总是沿着桥规则链传播。受基于包的描述逻辑的启发,我们通过在D3L解释中的域关系上强加所谓的组成一致性条件来扩展D3L的原始语义。在这种语义下,知识可以正确地沿着桥梁规则链传播。此外,我们提供了一种用于确定概念可满足性的分布式Tableaux推理算法,该算法可在D3L中根据成分一致性来确定。与原始D3L相比,扩展D3L为诸如信息集成系统和语义Web之类的分布式动态系统提供了更合理的逻辑基础。

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