Open AccessEvent and Query Processing in a Fuzzy Active Graph Database System
Author(s) -
Ayushi Vadwala,
Ying Jin
Publication year - 2022
Publication title -
epic series in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 2398-7340
DOI - 10.29007/fvvx
Subject(s) - computer science , graph database , query language , graph , query optimization , fuzzy logic , view , active database , data mining , wait for graph , database , information retrieval , theoretical computer science , database design , artificial intelligence
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.