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Research on semantic web retrieval model based on reasoning and key technologies

JIN Yan1,WANG Zhi-hua2(1.Department of Information Management,Zhengzhou University,Zhengzhou 450001,China; 2.Software Technology School,Zhengzhou University,Zhengzhou 450002,China)  
To address the problem of lack of reasoning in semantic web retrieval,a semantic web retrieval model based on reaso-ning is proposed.And some key technologies are introduced.SWRL rule language can perfect the domain ontology and reveal tacit knowledge;reasoning rules can help identified entity to get richer instance knowledge during the information extraction process;ontology and rules can help to realize query expansion.In the end,semantic matching help to get more accurate search results.And the following test shows that the method can get higher performance results.
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