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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规则转换为序言:转向描述逻辑程序

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We are researching the interaction between the rule and the ontology layers of the Semantic Web, by comparing two options: 1) using OWL and its rule extension SWRL to develop an integrated ontology/rule language, and 2) layering rules on top of an ontology with RuleML and OWL. Toward this end, we are developing the SWORIER system, which enables efficient automated reasoning on ontologies and rules, by translating all of them into Prolog and adding a set of general rules that properly capture the semantics of OWL. We have also enabled the user to make dynamic changes on the fly, at run time. This work addresses several of the concerns expressed in previous work, such as negation, complementary classes, disjunctive heads, and cardinality, and it discusses alternative approaches for dealing with inconsistencies in the knowledge base. In addition, for efficiency, we implemented techniques called extensionalization, avoiding reanalysis, and code minimization.
机译:通过比较两个选项,我们正在研究规则和语义Web的本体层之间的交互: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)在本体之上分层规则使用RuleML和OWL。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,从而实现对本体和规则的高效自动推理。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担忧,例如否定,互补类,析取头和基数,并且讨论了解决知识库中不一致问题的其他方法。此外,为了提高效率,我们实施了称为扩展的技术,避免了重新分析和代码最小化。

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