Extending SWRL rules for rules/concepts integration in hybrid ontologies

S. Bouaicha, Z. Boufaida
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引用次数: 1

Abstract

Generally the reasoning on ontologies uses simple inference engine. But in view of insufficiencies of the supported languages, ontologies are extended by SWRL rules. The problem is absence of reasoners capable to interoperate ontologies and rules. The SWRL rules combine the individuals of ontology and don't change the concepts and the knowledge base. So the reasoning stays incomplete. In this paper, we propose enriching the comportment of the concepts of an ontology by rules. This enrichment is effected in two manners: 1) Binding attributes and roles of concepts with conditions. This aspect constitutes the major contribution of this work. 2) Creating rules for combining individuals and atoms of concepts. To overcome these, we propose an approach of extending SWRL by adding new keywords as OWL ontology classes and properties, and post-translating them using rewrite meta-rules. These internal and external enrichments of the concepts leads to hybrid ontology which makes it possible to improve, in terms of results, the quality of the reasoning. To mention and clarify the interest of this kind of reasoning, we use a case study inherent to interpretation of check up in preventive medicine.
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扩展SWRL规则,以便在混合本体中集成规则/概念
本体上的推理一般使用简单的推理引擎。但是考虑到支持语言的不足,本体由SWRL规则扩展。问题在于缺少能够对本体和规则进行互操作的推理器。SWRL规则结合了本体的个体,不改变概念和知识库。所以推理是不完整的。本文提出用规则来丰富本体概念的表述。这种丰富通过两种方式实现:1)用条件绑定概念的属性和角色。这方面是本工作的主要贡献。2)创造个体与概念原子结合的规则。为了克服这些问题,我们提出了一种扩展SWRL的方法,通过添加新的关键字作为OWL本体类和属性,并使用重写元规则对它们进行后期翻译。这些概念的内部和外部丰富导致了混合本体,这使得在结果方面改进推理质量成为可能。为了提及和澄清这种推理的兴趣,我们使用一个在预防医学中解释检查所固有的案例研究。
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