Coping with Incomplete Data: Recent Advances

Marco Console, P. Guagliardo, L. Libkin, Etienne Toussaint
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引用次数: 11

Abstract

Handling incomplete data in a correct manner is a notoriously hard problem in databases. Theoretical approaches rely on the computationally hard notion of certain answers, while practical solutions rely on ad hoc query evaluation techniques based on three-valued logic. Can we find a middle ground, and produce correct answers efficiently? The paper surveys results of the last few years motivated by this question. We re-examine the notion of certainty itself, and show that it is much more varied than previously thought. We identify cases when certain answers can be computed efficiently and, short of that, provide deterministic and probabilistic approximation schemes for them. We look at the role of three-valued logic as used in SQL query evaluation, and discuss the correctness of the choice, as well as the necessity of such a logic for producing query answers.
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处理不完整数据:最新进展
以正确的方式处理不完整的数据是数据库中一个众所周知的难题。理论方法依赖于某些答案的计算困难概念,而实际解决方案依赖于基于三值逻辑的临时查询评估技术。我们能否找到一个中间地带,并有效地给出正确的答案?在这个问题的推动下,本文调查了最近几年的结果。我们重新考察确定性的概念本身,并表明它比以前所认为的要丰富得多。我们确定某些答案可以有效计算的情况,并且,缺乏这种情况,为它们提供确定性和概率近似方案。我们将研究在SQL查询求值中使用的三值逻辑的作用,并讨论选择的正确性,以及生成查询答案时使用这种逻辑的必要性。
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Probabilistic Databases for All Efficient Indexes for Diverse Top-k Range Queries Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems Parallel Algorithms for Sparse Matrix Multiplication and Join-Aggregate Queries Deciding Robustness for Lower SQL Isolation Levels
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