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Reasoning over Ontologies and Non-monotonic Rules

机译:在本体和非单调规则上推理

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Ontology languages and non-monotonic rule languages are both well-known formalisms in knowledge representation and reasoning, each with its own distinct benefits and features which are quite orthogonal to each other. Both appear in the Semantic Web stack in distinct standards - OWL and RIF - and over the last decade a considerable research effort has been put into trying to provide a framework that combines the two. Yet, the considerable number of theoretical approaches resulted, so far, in very few practical reasoners, while realistic use-cases are scarce. In fact, there is little evidence that developing applications with combinations of ontologies and rules is actually viable. In this paper, we present a tool called NoHR that allows one to reason over ontologies and non-monotonic rules, illustrate its use in a realistic application, and provide tests of scalability of the tool, thereby showing that this research effort can be turned into practice.
机译:本体语言和非单调规则语言是知识表示和推理中的知名形式主义,每个都具有自身与彼此相当正交的不同利益和特征。两者都出现在不同的标准中的语义Web堆栈中 - 猫头鹰和RIF - 在过去的十年中,一项相当大的研究努力,试图提供结合两者的框架。然而,到目前为止,大量理论方法导致了很少的实用性质,而现实用例是稀缺的。事实上,几乎没有证据表明,使用本体和规则的组合开发应用实际上是可行的。在本文中,我们提出了一个名为NoHR的工具,它允许一个在本体和非单调规则上推理,说明其在逼真的应用中使用,并提供工具的可扩展性的测试,从而表明这项研究可以变成实践。

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