模糊活动图数据库系统中的事件与查询处理

Ayushi Y. Vadwala, Ying Jin
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引用次数: 0

摘要

在现实世界的场景中有很多不确定和不精确的信息。基于图模型的图数据库系统支持清晰、精确的数据。本文提出了一种在图数据库环境下处理模糊量化查询的系统结构。模糊逻辑允许更现实地做出决策。本文设计并演示了一种特定形式的结构化量化查询,然后可以将其表示为Neo4j Cypher查询语言的扩展。此外,本研究在图形数据库的基础上构建了一个主动规则系统,对事件的发生自动做出反应。本文介绍了我们在Neo4j图形数据库系统上使用模糊活动规则和模糊查询处理来支持时态事件处理的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event and Query Processing in a Fuzzy Active Graph Database System
There is a lot of uncertain and imprecise information in a real-world scenario. Graph database systems based on the graph model support crisp and precise data. This paper presents a system structure that processes fuzzy quantified queries in the context of a graph database. Fuzzy logic allows decisions to be taken more realistically. A specific form of structural quantified query is designed and demonstrated in this paper, which then can be expressed as an extension to the Neo4j Cypher query language. In addition, this research built an active rule system on top of the graph database that reacts to event occurrences automatically. This paper presents our approach of supporting temporal event handling using fuzzy active rules and fuzzy query processing over Neo4j graph database systems.
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CiteScore
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