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Expression and efficient evaluation of fuzzy quantified structural queries to fuzzy graph databases

机译:模糊图数据库中模糊量化结构查询的表达和有效评估

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This paper deals with fuzzy quantified queries in a graph database context. We study a particular type of structural quantified query and show how it can be expressed in an extension of the Neo4j Cypher query language. A processing strategy based on a compilation mechanism that derives regular (nonfuzzy) queries for accessing the relevant data is also described. Then, some experiments are performed that show the tractability of this approach. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文处理图数据库上下文中的模糊量化查询。我们研究一种特殊类型的结构化量化查询,并展示如何在Neo4j Cypher查询语言的扩展中表达它。还描述了基于编译机制的处理策略,该编译机制派生用于访问相关数据的常规(非模糊)查询。然后,进行了一些实验,表明该方法的易处理性。 (C)2018 Elsevier B.V.保留所有权利。

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