基于Datalog的大规模本体推理

Mario Alviano, M. Manna
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引用次数: 0

摘要

一般来说,对owl2进行推理是一项非常昂贵的任务,因此W3C确定了具有良好计算特性的可处理概要文件。owl2中许多片段的本体推理可以简化为对Datalog查询的求值。本文研究了其中的一些编译器,特别是处理Horn-$\mathcal{SHIQ}$知识库查询的编译器,以及它在DLV2中由新版本的Magic Sets算法增强的实现。
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Large-scale Ontological Reasoning via Datalog
Reasoning over OWL 2 is a very expensive task in general, and therefore the W3C identified tractable profiles exhibiting good computational properties. Ontological reasoning for many fragments of OWL 2 can be reduced to the evaluation of Datalog queries. This paper surveys some of these compilations, and in particular the one addressing queries over Horn-$\mathcal{SHIQ}$ knowledge bases and its implementation in DLV2 enanched by a new version of the Magic Sets algorithm.
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