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Translating OWL and Semantic Web Rules into Prolog: Moving Toward Description Logic Programs

机译:将OWL和语义Web规则翻译成prolog:走向   描述逻辑程序

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摘要

To appear in Theory and Practice of Logic Programming (TPLP), 2008. We are researching the interaction between the rule and the ontology layersof the Semantic Web, by comparing two options: 1) using OWL and its ruleextension SWRL to develop an integrated ontology/rule language, and 2) layeringrules on top of an ontology with RuleML and OWL. Toward this end, we aredeveloping the SWORIER system, which enables efficient automated reasoning onontologies and rules, by translating all of them into Prolog and adding a setof general rules that properly capture the semantics of OWL. We have alsoenabled the user to make dynamic changes on the fly, at run time. This workaddresses several of the concerns expressed in previous work, such as negation,complementary classes, disjunctive heads, and cardinality, and it discussesalternative approaches for dealing with inconsistencies in the knowledge base.In addition, for efficiency, we implemented techniques calledextensionalization, avoiding reanalysis, and code minimization.
机译:出现在2008年的逻辑编程理论和实践(TPLP)中。我们通过比较两个选项来研究规则和语义Web本体层之间的交互:1)使用OWL及其规则扩展SWRL开发集成的本体/规则语言,以及2)使用RuleML和OWL在本体之上的分层规则。为此,我们正在开发SWORIER系统,该系统通过将所有本体和规则翻译成Prolog并添加一组可以正确捕获OWL语义的通用规则,从而实现高效的自动推理本体和规则。我们还使用户能够在运行时即时进行动态更改。这项工作解决了先前工作中表达的一些顾虑,例如否定,互补类,析取头和基数,并讨论了解决知识库中不一致问题的替代方法。此外,为了提高效率,我们实施了称为扩展的技术,避免了重新分析,并使代码最小化。

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