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The limits and possibilities of combining Description Logics and Datalog

机译:结合描述逻辑和数据记录的限制和可能性

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Description Logics are currently the most used formalisms for building ontologies, and have been proposed as standard languages for the specification of ontologies in the Semantic Web. The problem of adding rules to Description Logics is currently a hot research topic, due to the interest of Semantic Web applications towards the integration of rule-based systems with ontologies. Most of the approaches in this field concern the study of description logic knowledge bases augmented with rules expressed in Datalog and its nonmonotonic extensions. In this talk we present a set of computational results which identify, from the viewpoint of the expressive abilities of the two formalisms, minimal combinations of Description Logics and (nonmonotonic) Data-log in which reasoning is undecidable. Then, based on the above results, we briefly survey some recent proposals for overcoming such expressive limitations.
机译:描述逻辑目前是建筑本体最常用的形式主义,并已被提出为语义网络中的本体的标准语言。添加说明逻辑的规则的问题是目前是一个热门的研究主题,因为语义Web应用程序与本体的基于规则的系统集成的兴趣。该领域的大多数方法涉及描述描述逻辑知识库的研究增强了数据记录中表达的规则及其非单调扩展。在这谈话中,我们展示了一系列识别的计算结果,从两个形式主义的表达能力的观点来看,描述逻辑的最小组合和(非单调)数据记录,其中推理是不可识别的。然后,根据上述结果,我们简要介绍了一些克服这种表现局限性的最新建议。

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