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Efficient Ontological Query Answering by Rewriting into Graph Queries

机译:通过重写为图形查询的有效本体查询回答

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The OWL 2 QL profile of the OWL 2 Web Ontology Language, based on the family of description logics called DL-Lite, allows for answering queries by rewriting, i.e. by reformulating a given query into another query that is then directly processed by a RDBMS system by pure querying, without materialising new data or updating existing data. In this paper we propose a new language whose expressive power goes beyond that of DL-Lite (in particular, our language extends both OWL 2 QL and linear εLH, two well known DL ontology languages) while still allowing query answering via rewriting of queries into conjunctive two-way regular path queries (C2RPQs). Our language is identified by a syntactic property that can be efficiently checked. After defining our new language, we propose a novel rewriting technique for conjunctive queries (CQs) that makes use of nondeterministic finite state automata. CQ answering in our setting is NLOGSPACE-complete in data complexity and NP-complete in combined complexity; answering instance queries is NLOGSPACE-complete in data complexity and in PTlME in combined complexity.
机译:OWL 2 Web本体语言的OWL 2 QL配置文件基于称为DL-Lite的描述逻辑系列,允许通过重写(即将给定查询重新格式化为另一个查询,然后由RDBMS系统直接处理)来回答查询。通过纯查询,而无需实现新数据或更新现有数据。在本文中,我们提出了一种新的语言,其表达能力超出了DL-Lite的表达能力(特别是,我们的语言扩展了OWL 2 QL和线性εLH,这是两种众所周知的DL本体语言),同时仍允许通过将查询重写为结合的双向常规路径查询(C2RPQ)。我们的语言是通过可以有效检查的语法属性来识别的。在定义了我们的新语言之后,我们提出了一种新的用于联合查询(CQs)的重写技术,该技术利用了不确定性有限状态自动机。在我们的环境中,CQ回答的数据复杂度为NLOGSPACE-complete,组合复杂度为NP-complete;回答实例查询的数据复杂度为NLOGSPACE-complete,综合复杂度为PTlME。

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