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Rewriting Fuzzy Queries Using Imprecise Views

机译:使用不精确的视图重写模糊查询

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This paper proposes an approach to the tolerant rewriting of queries in terms of views when the views and the queries may involve fuzzy value constraints in the context of a Local-As-View mediation system. These constraints describe attribute values as a set of elements attached with a degree in [0, 1] that expresses the plausibility attached to a given element, i.e., attribute values more or less plausible/typical in the views, while in the queries, they denotes preferences, i.e., more or less desired values. The problem of rewriting queries is formalized in the setting of the description logic TCo extended to fuzzy value constraints. We propose an algorithm of gradual and structural subsumption for this extended logic, that plays a key role in the query rewriting algorithm. Finally, we characterize the tolerant query rewriting forms and propose an algorithm to compute them.
机译:本文提出了一种在视图和查询在局部视点调解系统的上下文中可能涉及模糊值约束的情况下,根据视图允许的查询重写的方法。这些约束将属性值描述为一组元素,它们在[0,1]中以一定程度附加,表示附加到给定元素的合理性,即,属性值在视图中或多或少是合理/典型的,而在查询中,它们表示偏好,即或多或少的期望值。重写查询的问题在扩展为模糊值约束的描述逻辑TCo的设置中形式化。我们针对此扩展逻辑提出了一种渐进式和结构式包含的算法,该算法在查询重写算法中起着关键作用。最后,我们描述了容忍的查询重写形式,并提出了一种计算它们的算法。

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