LIU Shufen, CHI Meng, YAO Zhilin, “A Matching Algorithm Based on Association Rules in Ontology Based Publish/Subscribe System,” Chinese Journal of Electronics, vol. 24, no. 1, pp. 65-70, 2015,
Citation: LIU Shufen, CHI Meng, YAO Zhilin, “A Matching Algorithm Based on Association Rules in Ontology Based Publish/Subscribe System,” Chinese Journal of Electronics, vol. 24, no. 1, pp. 65-70, 2015,

A Matching Algorithm Based on Association Rules in Ontology Based Publish/Subscribe System

Funds:  This work is supported by the National Natural Science Foundation of China (No.60973041).
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  • Corresponding author: YAO Zhilin was born in Jilin Province, China, in 1973. He received the Ph.D. degree from Jilin University, China, in 2007. He is a lecturer in College of Computer Science and Technology of Jilin University. His research area covers computer supported cooperative work, software engineering, etc. (Email:
  • Received Date: 2013-05-01
  • Rev Recd Date: 2014-04-01
  • Publish Date: 2015-01-10
  • In this paper, we introduce association rules into the event matching process, and propose a matching algorithm based on association rules in ontology-based publish/subscribe system. The algorithm discovers association rules from subscriptions, and then integrates these association rules into the arrived events. These integrated association rules guide the event matching process, which can greatly improve efficiency by reducing unnecessary matching processes. To solve the available problem of integrating the association rules into the ontology-based publish/subscribe system, we also show an approach of transforming the subscriptions into a format that can apply the data mining algorithm and an approach of integrating the association rule into the events. The results show that the algorithm achieves performance improvement of matching efficiency by using comparison.
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