Mutation Event and Fuzzy Active Rule Processing in a Graph Database System

10 pages•Published: November 24, 2022

Abstract

A graph database system is a type of NoSQL databases that is based on the graph data model using nodes and arcs. Existing graph databases are passive and can only handle crisp data. Information in the real world can be imprecise and vague rather than crisp. Integrating fuzzy logic into database systems allows users to use uncertain data, which presents the degree to which something is true. Compared with passive databases, active databases support event handling by monitoring and reacting to specific circumstances automatically. This paper describes our approach of incorporating fuzzy concepts and active rules into a graph database system. Our recent publication has described our work of temporal event processing. This paper focuses on mutation events handling and active rule processing in a fuzzy system, covering the language model, the execution model, and architecture design. The language model defines the rule structure and contains the metadata for rule processing. Architecture design identifies the system's architectural components and user interfaces including rule specification interface and query interface. The execution model handles rule processing and execution at run time. A supply chain application is used to demonstrate the examples of active rule specification and execution.

Keyphrases: active rules, fuzzy logic, graph databases

In: Yan Shi, Gongzhu Hu, Krishna Kambhampaty and Takaaki Goto (editors). Proceedings of 35th International Conference on Computer Applications in Industry and Engineering, vol 89, pages 21-30.

Links:	https://easychair.org/publications/paper/pgX2
	https://doi.org/10.29007/kvms

BibTeX entry

@inproceedings{CAINE2022:Mutation_Event_Fuzzy_Active,
  author    = {Ying Jin and Vaidehi Shah},
  title     = {Mutation Event and Fuzzy Active Rule Processing in a Graph Database System},
  booktitle = {Proceedings of 35th International Conference on Computer Applications in Industry and Engineering},
  editor    = {Yan Shi and Gongzhu Hu and Krishna Kambhampaty and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {89},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/pgX2},
  doi       = {10.29007/kvms},
  pages     = {21-30},
  year      = {2022}}

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