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《Journal of Zhejiang University(Engineering Science)》 2009-01
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Matching algorithm for semantic-based publish/subscribe system

HU Xi-xiang1,2(1.College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;2.Institute of Software and Intelligent Technology,Hangzhou Dianzi University, Hangzhou 310018,China)  
An efficient semantic-based matching algorithm named multi-dimension index and counting(MIC) algorithm was proposed for publish/subscribe systems based on the ontology models of publication and subscription.Publication and subscription was represented as resource description framework(RDF) graph and RDF graph patterns.The algorithm respectively uses multi-dimension Hash tables and binary sorted tree to index the concept class constraints of arc and vertex pairs and the predicate condition constraints of subscription graph patterns according to the characteristics of RDF graph patterns.Then the algorithm can speed up the matching of arc and vertex pairs of subscription graph patterns.The algorithm also exploits the covering relationship of predicate constraints and class concept constraints between subscriptions to eliminate unnecessary redundant matching complexity.Experimental results show that the MIC algorithm outperforms former algorithms and satisfies the requirement of large scale publish/subscribe applications in efficiency.
【Fund】: 浙江省科技计划资助项目(2007C13090)
【CateGory Index】: TP311.13
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