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引用次数: 11

摘要

追逐程序是数据库理论中最基本的算法工具之一。一个关键的算法任务是统一的追逐终止,即,给定一组元组生成依赖项(tgds),是否在这组tgds下的追逐终止,对于每个输入数据库?鉴于这个问题是不可判定的,无论我们考虑哪一种版本的追逐,我们都很自然地要问,在不同的背景下(如本体论推理)引入的行为良好的tgds类是否使我们的问题是可判定的。在这项工作中,我们考虑了tgds的一个突出的可决性范式,称为粘性。我们表明,对于tgds的粘性集,如果我们关注(半)遗忘追逐,则均匀追逐终止是可确定的,并且我们确定了其确切的复杂性:一般情况下为PSPACE-complete,对于有界性的谓词为NLOGSPACE-complete。这些复杂性结果是通过基于图的语法特征来获得的,这些特征是独立的。2012 ACM学科分类:计算理论→数据库查询语言(原理)、数据库约束理论、逻辑学与数据库
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Oblivious Chase Termination: The Sticky Case
The chase procedure is one of the most fundamental algorithmic tools in database theory. A key algorithmic task is uniform chase termination, i.e., given a set of tuple-generating dependencies (tgds), is it the case that the chase under this set of tgds terminates, for every input database? In view of the fact that this problem is undecidable, no matter which version of the chase we consider, it is natural to ask whether well-behaved classes of tgds, introduced in different contexts such as ontological reasoning, make our problem decidable. In this work, we consider a prominent decidability paradigm for tgds, called stickiness. We show that for sticky sets of tgds, uniform chase termination is decidable if we focus on the (semi-)oblivious chase, and we pinpoint its exact complexity: PSPACE-complete in general, and NLOGSPACE-complete for predicates of bounded arity. These complexity results are obtained via graph-based syntactic characterizations of chase termination that are of independent interest. 2012 ACM Subject Classification Theory of Computation→Database query languages (principles), database constraints theory, logic and databases
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