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Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints

机译:从数据库中查询答案的原因:数据日志绑架,视图更新和完整性约束

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Causality has been recently introduced in databases, to model, characterize, and possibly compute causes for query answers. Connections between QA-causality and consistency based diagnosis and database repairs (wrt, integrity constraint violations) have already been established. In this work we establish precise connections between QA-causality and both abductive diagnosis and the view-update problem in databases, allowing us to obtain new algorithmic and complexity results for QA-causality. We also obtain new results on the complexity of view-conditioned causality, and investigate the notion of QA-causality in the presence of integrity constraints, obtaining complexity results from a connection with view-conditioned causality. The abduction connection under integrity constraints allows us to obtain algorithmic tools for QA-causality. (C) 2017 Elsevier Inc. All rights reserved.
机译:最近在数据库中引入了因果关系,以对查询答案的原因进行建模,表征和计算。基于质量保证因果关系和一致性的诊断与数据库修复(wrt,违反完整性约束)之间的联系已经建立。在这项工作中,我们建立了质量保证因果关系与归纳诊断和数据库中的视图更新问题之间的精确联系,从而使我们能够获得质量保证因果关系的新算法和复杂性结果。我们还获得了关于视图条件因果关系复杂性的新结果,并在存在完整性约束的情况下研究了QA因果关系的概念,并从与视图条件因果关系的联系中获得了复杂性结果。在完整性约束下的绑架关系使我们能够获得质量保证因果关系的算法工具。 (C)2017 Elsevier Inc.保留所有权利。

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