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Regular Expressions with Binding over Data Words for Querying Graph Databases

机译:用于查询图形数据库的带有数据字绑定的正则表达式

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Data words assign to each position a letter from a finite alphabet and a data value from an infinite set. Introduced as an abstraction of paths in XML documents, they recently found applications in querying graph databases as well. Those are actively studied due to applications in such diverse areas as social networks, semantic web, and biological databases. Querying formalisms for graph databases are based on specifying paths conforming to some regular conditions, which led to a study of regular expressions for data words. Previously studied regular expressions for data words were either rather limited, or had the full expressiveness of register automata, at the expense of a quite unnatural and unintuitive binding mechanism for data values. Our goal is to introduce a natural extension of regular expressions with proper bindings for data values, similar to the notion of freeze quantifiers used in connection with temporal logics over data words, and to study both language-theoretic properties of the resulting class of languages of data words, and their applications in querying graph databases.
机译:数据字为每个位置分配一个来自有限字母的字母和一个来自无限集合的数据值。作为XML文档中路径的抽象引入,他们最近也在查询图数据库中找到了应用程序。由于在诸如社交网络,语义网和生物数据库之类的不同领域中的应用,对它们进行了积极的研究。查询图形数据库的形式主义是基于指定符合某些正则条件的路径,从而导致对数据字正则表达式的研究。先前研究的数据字正则表达式要么相当有限,要么具有寄存器自动机的完整表达能力,但代价是数据值的绑定机制非常不自然且不直观。我们的目标是引入对数据值进行适当绑定的正则表达式的自然扩展,类似于与数据单词的时态逻辑结合使用的冻结量词的概念,并研究由此产生的语言的两种语言理论特性数据字及其在查询图形数据库中的应用。

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