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An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-order Extensions of Description Logic

机译:关于描述逻辑的一阶扩展的混合推理的有序理论分辨率计算

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Systems for hybrid reasoning with first-order logic (FOL) extensions of description logic (DL) date back at least 20 years and are enjoying a renewed interest in the context of recent FOL extensions of OWL DL for the Semantic Web. However, current systems for reasoning with such languages can only handle subsets of FOL or they do not fully exploit recent advances in both FOL theorem proving and DL inference. In response, we present an ordered theory resolution calculus for hybrid reasoning in unrestricted FOL extensions of the DL SHI. This calculus permits near-seamless integration of highly optimized FOL theorem provers and DL reasoners while minimizing redundant reasoning and maintaining soundness and refutational completeness. Empirical results demonstrate the potential of this approach in comparison to the state-of-the-art FOL theorem provers Vampire, Otter, and SPASS.
机译:用一阶逻辑(FOL)的混合推理系统的系统,描述逻辑(DL)日期返回至少20年,并且在最近对语义Web的猫头鹰DL的最新对延长的背景下享有更新的兴趣。然而,用于推理此类语言的当前系统只能处理FOL的子集,或者他们在证明和DL推理中,他们没有完全利用最近的进步。作为回应,我们提出了一个有序理论分辨率计算,用于DL Shi的不受限制对延伸的混合推理。这种微积分允许高度优化的对客体普通和DL推理的近无缝集成,同时最大限度地减少冗余推理和保持健全和反驳完整性。实证结果展示了这种方法的潜力与最先进的人定理普通吸血鬼,水獭和痉挛相比。

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