Title :
Rule Engine based on improvement Rete algorithm
Author :
Liu, Di ; Gu, Tao ; Xue, Jiang-ping
Author_Institution :
Sch. of Software, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Rete algorithm is the mainstream of the algorithm in the rules engine; it provides efficient local entities data and rules pattern matching method. But Rete algorithm applied in rules engine has defects in performance and demand aspect, this paper applies three methods to improve the Rete algorithm in the rule engine: rule decomposition, Alpha-Node-Hashing and Beta-Node-Indexing. Rules engine is enterprise applications, business logic framework for extracting rules from software application, and make it more flexible. This paper describes the principle of Rule Engine at first, secondly show the Rete algorithm, and finally we do some improvement to Rete algorithm. It makes Rule Engine widely meet the application demand and be greatly improved the efficiency.
Keywords :
business data processing; data handling; knowledge based systems; pattern matching; Rete algorithm; alpha-node-hashing; beta-node-indexing; business logic framework; data pattern matching method; rule decomposition; rule engine; rule extraction; rules pattern matching method; Algorithm design and analysis; Business; Classification algorithms; Engines; Pattern matching; Production; Software algorithms; Alpha-Node-Hashing; Beta-Node-Indexing; Rete algorithm; Rule Engine; rule decomposition;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709916