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

被引：4
|
作者：
Pivert, Olivier [1 ]
Slama, Olfa [1 ]
Thion, Virginie [1 ]
机构：
[1] Univ Rennes 1, IRISA, Lannion, France
来源：
FUZZY SETS AND SYSTEMS | 2019年 / 366卷
关键词：
Graph databases; Fuzzy quantified queries;
D O I：
10.1016/j.fss.2018.06.002
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：3 / 17
页数：15
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