Combined Complexity of Repair Checking and Consistent Query Answering

Sebastian Arming, R. Pichler, Emanuel Sallinger
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引用次数: 17

Abstract

Inconsistent databases (i.e., databases violating some given set of integrity constraints) may arise in many applications such as, for instance, data integration. Hence, the handling of inconsistent data has evolved as an active field of research. In this paper, we consider two fundamental problems in this context: Repair Checking (RC) and Consistent Query Answering (CQA). So far, these problems have been mainly studied from the point of view of data complexity (where all parts of the input except for the database are considered as fixed). While for some kinds of integrity constraints, also combined complexity (where all parts of the input are allowed to vary) has been considered, for several other kinds of integrity constraints, combined complexity has been left unexplored. Moreover, a more detailed analysis (keeping other parts of the input fixed - e.g., the constraints only) is completely missing. The goal of our work is a thorough analysis of the complexity of the RC and CQA problems. Our contribution is a complete picture of the complexity of these problems for a wide range of integrity constraints. Our analysis thus allows us to get a better understanding of the true sources of complexity.
维修检查与一致性查询应答的组合复杂度
不一致的数据库(即,违反某些给定完整性约束集的数据库)可能出现在许多应用程序中,例如,数据集成。因此,不一致数据的处理已经发展成为一个活跃的研究领域。在本文中,我们考虑了这方面的两个基本问题:修理检查(RC)和一致查询应答(CQA)。到目前为止,这些问题主要是从数据复杂性的角度来研究的(除了数据库,输入的所有部分都被认为是固定的)。虽然对于某些类型的完整性约束,还考虑了组合复杂性(允许输入的所有部分变化),但对于其他几种类型的完整性约束,组合复杂性尚未进行研究。此外,更详细的分析(保持输入的其他部分固定不变——例如,仅约束条件)完全缺失。我们工作的目标是对RC和CQA问题的复杂性进行彻底的分析。我们的贡献是为广泛的完整性约束提供这些问题复杂性的完整图景。因此,我们的分析使我们能够更好地理解复杂性的真正来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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