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A New Method of Finding All Justifications in OWL 2 EL

机译:一种在猫头鹰2 el中找到所有理由的新方法

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Finding justifications for an entailment in an OWL ontology is an important reasoning service in the development and maintenance of OWL ontologies. In this paper, we consider the problem of finding all the justifications of an entailment in description logic EL+, which underpins OWL 2 EL. Our method for computing all the justifications utilizes the classification result of an EL+ ontology by an OWL EL reasoner. We first give an algorithm for finding all the justifications of an entailment by constructing an explanation dependency graph from the entailment and the classification result. We then propose some pruning strategies to optimize this algorithm. We implement a prototype system by using the multi-core technology. The experimental results show that in many cases, our optimized algorithm outperforms an existing algorithm for finding all the justifications for an entailment in EL+ that is optimized with the module extraction technology.
机译:在猫头鹰本体中寻找留言的理由是猫头鹰本体的开发和维护中的重要推理服务。在本文中,我们考虑了在描述逻辑EL +中找到了所有令人留言的问题的问题,这是猫头鹰2 el的obl。我们计算所有理由的方法利用OWL EL推理员的EL +本体的分类结果。我们首先通过从eNtailment和分类结果构建解释依赖性图来找到识别仪表的算法。然后,我们提出了一些修剪策略来优化该算法。我们通过使用多核技术来实现原型系统。实验结果表明,在许多情况下,我们的优化算法优于现有的算法,用于查找用模块提取技术优化的EL +中存在的所有理由。

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