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Exchange-Repairs: Managing Inconsistency in Data Exchange

机译:Exchange修复:管理数据交换中的不一致

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In a data exchange setting with target constraints, it is often the case that a given source instance has no solutions. Intuitively, this happens when data sources contain inconsistent or conflicting information that is exposed by the target constraints at hand. In such cases, the semantics of target queries trivialize, because the certain answers of every target query over the given source instance evaluate to "true". The aim of this paper is to introduce and explore a new framework that gives meaningful semantics in such cases by using the notion of exchange-repairs. Informally, an exchange-repair of a source instance is another source instance that differs minimally from the first, but has a solution. In turn, exchange-repairs give rise to a natural notion of exchange-repair certain answers (in short, XR-certain answers) for target queries in the context of data exchange with target constraints. After exploring the structural properties of exchange-repairs, we focus on the problem of computing the XR-certain answers of conjunctive queries. We show that for schema mappings specified by source-to-target GAV dependencies and target equality-generating dependencies (egds), the XR-certain answers of a target conjunctive query can be rewritten as the consistent answers (in the sense of standard database repairs) of a union of source conjunctive queries over the source schema with respect to a set of egds over the source schema, thus making it possible to use a consistent query-answering system to compute XR-certain answers in data exchange. In contrast, we show that this type of rewriting is not possible for schema mappings specified by source-to-target LAV dependencies and target egds. We then examine the general case of schema mappings specified by source-to-target GLAV constraints, a weakly acyclic set of target tgds and a set of target egds. The main result asserts that, for such settings, the XR-certain answers of conjunctive queries can be rewritten as the certain answers of a union of conjunctive queries with respect to the stable models of a disjunctive logic program over a suitable expansion of the source schema.
机译:在具有目标约束的数据交换设置中,给定的源实例通常没有解决方案。直观地讲,当数据源包含不一致或冲突的信息时,就会发生这种情况,而这些信息可能会受到目标约束的影响。在这种情况下,目标查询的语义变得微不足道,因为在给定的源实例上,每个目标查询的某些答案评估为“真”。本文的目的是介绍和探索一个新的框架,该框架通过使用交换修复的概念在这种情况下提供有意义的语义。非正式地,源实例的交换修复是与第一实例之间的差异最小,但具有解决方案的另一个源实例。反过来,在具有目标约束的数据交换的背景下,交换修复引起了交换修复的自然概念,即目标查询的某些答案(简而言之,XR特定答案)。在探讨了交换修复的结构特性之后,我们将重点放在计算XR联合查询的某些答案的问题上。我们表明,对于由源到目标GAV依赖性和目标相等性生成依赖性(egds)指定的架构映射,可以将目标联合查询的XR特定答案重写为一致答案(就标准数据库修复而言) )相对于源模式上的一组egds,源模式上的源联合查询的并集,因此可以在数据交换中使用一致的查询-应答系统来计算XR特定的答案。相反,我们表明,对于源到目标LAV依赖关系和目标egds指定的架构映射,这种类型的重写是不可能的。然后,我们检查由源到目标GLAV约束,目标tgds的弱非循环集合和目标egds集合指定的架构映射的一般情况。主要结果断言,对于这样的设置,可以在源模式的适当扩展下,将XR特定的联合查询答案重写为联合查询关于联合逻辑程序的稳定模型的某些答案。 。

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