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On Applying the AGM Theory to DLs and OWL

机译:关于将AGM理论应用于DL和OWL

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摘要

It is generally acknowledged that any Knowledge Base (KB) should be able to adapt itself to new information received. This problem has been extensively studied in the field of belief change, the dominating approach being the AGM theory. This theory set the standard for determining the rationality of a given belief change mechanism but was placed in a certain context which makes it inapplicable to logics used in the Semantic Web, such as Description Logics (DLs) and OWL. We believe the Semantic Web community would benefit from the application of the AGM theory to such logics. This paper is a preliminary study towards the feasibility of this application. Our approach raises interesting theoretical challenges and has an important practical impact too, given the central role that DLs and OWL play in the Semantic Web.
机译:通常公认的是,任何知识库(KB)都应能够适应接收到的新信息。这个问题已经在信念改变领域中得到了广泛的研究,主要的方法是AGM理论。该理论为确定给定的信念变更机制的合理性设定了标准,但被置于特定的上下文中,这使其不适用于语义网中使用的逻辑,例如描述逻辑(DL)和OWL。我们相信语义Web社区将从AGM理论到此类逻辑的应用中受益。本文是对该应用可行性的初步研究。考虑到DL和OWL在语义网中所扮演的核心角色,我们的方法提出了有趣的理论挑战,并且也产生了重要的实际影响。

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