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Composing Local-As-View Mappings: Closure and Applications

机译:组成本地视图映射:闭包和应用

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Schema mapping composition is a fundamental operation in schema management and data exchange. The mapping composition problem has been extensively studied for a number of mapping languages, most notably source-to-target tuple-generating dependencies (s-t tgds). An important class of s-t tgds are local-as-view (LAV) tgds. This class of mappings is prevalent in practical data integration and exchange systems, and recent work by ten Cate and Kolaitis shows that such mappings possess desirable structural properties. It is known that s-t tgds are not closed under composition. That is, given two mappings expressed with s-t tgds, their composition may not be definable by any set of s-t tgds (and, in general, may not be expressible in first-order logic). Despite their importance and extensive use in data integration and exchange systems, the closure properties of LAV composition remained open to date. The most important contribution of this paper is to show that LAV tgds are closed under composition, and provide an algorithm to directly compute the composition. An important application of our composition result is that it helps to understand if given a LAV mapping M_(st) from schema S to schema T, and a LAV mapping M_(ts) from schema T back to S, the composition of M_(st) and M_(ts) is able to recover the information in any instance of S. Arenas et al. formalized this notion and showed that general s-t tgds mappings always have a recovery. Hence, a LAV mapping always has a recovery. However, the problem of testing whether a given M_(ts) is a recovery of M_(st) is known to be undecidable for general s-t tgds. In contrast, in this paper we show the tractability of the problem for LAV mappings, and give a polynomial-time algorithm to solve it.
机译:模式映射组合是模式管理和数据交换中的基本操作。映射组成问题已针对多种映射语言进行了广泛研究,其中最著名的是源到目标元组生成相关性(s-t tgds)。 s-t tgds的重要一类是局部视点(LAV)tgds。这类映射在实际的数据集成和交换系统中很普遍,十位凯特和科拉蒂斯(Cate and Kolaitis)最近的工作表明,此类映射具有理想的结构特性。众所周知,s-t tgds在组成下是不封闭的。也就是说,给定两个用s-t tgds表示的映射,它们的组成可能无法通过任何s-t tgds集合定义(并且通常不能在一阶逻辑中表示)。尽管它们在数据集成和交换系统中的重要性和广泛使用,LAV组合物的封闭特性至今仍未解决。本文最重要的贡献是证明LAV tgds在合成下是封闭的,并提供了一种直接计算合成的算法。我们的合成结果的一个重要应用是,它有助于了解是否给定了从模式S到模式T的LAV映射M_(st),以及从模式T到S的LAV映射M_(ts),M_(st ),并且M_(ts)能够在S. Arenas等人的任何情况下恢复信息。正式化了这一概念,并表明一般的s-t tgds映射总是可以恢复的。因此,LAV映射始终具有恢复能力。但是,对于一般的s-t tgds来说,测试给定的M_(ts)是否是M_(st)的恢复问题是未知的。相反,在本文中,我们展示了LAV映射问题的易处理性,并给出了多项式时间算法来解决。

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