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Preference-based Inconsistency-Tolerant Query Answering under Existential Rules

机译:基于偏好的不一致性宽容查询在存在规则下应答

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Query answering over inconsistent knowledge bases is a problem that has attracted a great deal of interest over the years. Different inconsistency-tolerant semantics have been proposed, and most of them are based on the notion of repair, that is, a "maximal" consistent subset of the database. In general, there can be several repairs, so it is often natural and desirable to express preferences among them. In this paper, we propose a framework for querying inconsistent knowledge bases under user preferences for existential rule languages. We provide generalizations of popular inconsistency-tolerant semantics taking preferences into account and study the data and combined complexity of different relevant problems.
机译:查询回答不一致的知识库是一个问题,这些问题已经吸引了多年来的兴趣。 已经提出了不同的不一致性宽容语义,其中大多数基于修复的概念,即数据库的“最大”一致的子集。 通常,可以有几种维修,因此它通常是自然的并且希望在它们中表达偏好。 在本文中,我们提出了一个框架,用于根据存在规则语言的用户首选项查询不一致的知识库。 我们提供了普遍的不一致性语义的概括,考虑到偏好,并研究数据和不同相关问题的复杂性。

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