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Expressive languages for path queries over graph-structured data

机译:用于图结构数据的路径查询的表达语言

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摘要

For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.), the power of standard languages such as the widely studied conjunctive regular path queries (CRPQs) is insufficient in at least two ways. First, they cannot output paths and second, more crucially, they cannot express relationships among paths. We thus propose a class of extended CRPQs, called ECRPQs, which add regular relations on tuples of paths, and allow path variables in the heads of queries. We provide several examples of their usefulness in querying graph structured data, and study their properties. We analyze query evaluation and representation of tuples of paths in the output by means of automata. We present a detailed analysis of data and combined complexity of queries, and consider restrictions that lower the complexity of ECRPQs to that of relational conjunctive queries. We study the containment problem, and look at further extensions with first-order features, and with non-regular relations that add arithmetic constraints on the lengths of paths and numbers of occurrences of labels.
机译:对于图查询设置中出现的许多问题(例如在RDF图中查找语义关联,精确和近似模式匹配,序列对齐等),标准语言的功能(例如,广泛研究的联合规则路径查询(CRPQ))在至少两个方面是不够的。首先,它们不能输出路径,其次,更重要的是,它们不能表达路径之间的关系。因此,我们提出了一类扩展的CRPQ,称为ECRPQ,它在路径元组上添加常规关系,并允许在查询的头部添加路径变量。我们提供了几个示例在查询图结构化数据方面的有用性,并研究了它们的属性。我们通过自动机分析查询评估和输出中路径元组的表示形式。我们对数据和查询的组合复杂度进行了详细分析,并考虑了将ECRPQ复杂度降低到关系联合查询的限制。我们研究了遏制问题,并研究了具有一阶特征以及具有增加路径长度和标签出现次数的算术约束的非规则关系的进一步扩展。

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