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Query Answering by Rewriting in GLAV Data Integration Systems Under Constraints

机译:通过在约束下重写Glav数据集成系统来查询回答

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In the Semantic Web, the goal is offering access to information that is distributed over the Internet. Data integration is highly relevant in this context, since it consists in providing a uniform access to a set of data sources, through a unified representation of the data called global schema. Integrity constraints (ICs) are expressed on the global schema in order to better represent the domain of interest, yet such constraints may not be satisfied by the data at the sources. In this paper we address the problem of answering queries posed to a data integration system where the mapping is specified in the so-called GLAV approach, and when tuple-generating dependencies (TGDs) and functional dependencies (FDs) are expressed over the global schema. We extend previous results by first showing that, in the case of TGDs without FDs, known query rewriting techniques can be applied in a more general case, and can take into account also the GLAV mapping in a single rewriting step. Then we introduce FDs with TGDs, identifying a novel class of ICs for which query answering is decidable, and providing a query answering algorithm based on query rewriting also in this case.
机译:在语义Web中,目标是提供对在互联网上分发的信息的访问。数据集成在此上下文中具有高度相关,因为它包括通过统一的数据源提供统一访问,通过称为全局模式的数据的统一表示。完整性约束(ICS)在全局模式上表达,以便更好地代表感兴趣的域,但源的数据可能不满足此类约束。在本文中,我们解决了在所谓的Glav方法中指定映射的映射所指定的查询的问题,以及当通过全局模式表示元组生成依赖性(TGDS)和功能依赖关系(FDS)时。我们首先显示先前的结果,首先显示,在没有FD的TGD的情况下,可以在更常规的情况下应用已知的查询重写技术,并且可以考虑单个重写步骤中的Glav映射。然后,我们使用TGDS介绍FDS,识别查询应答的新型IC类别,并在这种情况下提供了基于查询重写的查询应答算法。

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