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本体语义检索系统
引用本文:王璐,于超,王博,王国春,林金花,李辉. 本体语义检索系统[J]. 长春工业大学学报(自然科学版), 2013, 0(6): 726-730
作者姓名:王璐  于超  王博  王国春  林金花  李辉
作者单位:[1]长春工业大学软件职业技术学院,吉林长春130012 [2]长春工业大学人文信息学院信息工程系,吉林长春130122 [3]长春市轨道交通集团有限公司,吉林长春130012 [4]吉林省塑料研究院,吉林长春130022
基金项目:吉林省教育厅“十二五”科学技术研究项目(吉教科合字[2012]第404号)
摘    要:基于关键词匹配的检索方法存在不足,使用分布式大数据处理技术,基于本体对用户输入的查询关键词进行查询扩展,利用Lucene针对扩展后的关键词进行检索,按照语义相似度将检索结果排序后返回给用户。实验表明,基于本体的语义检索系统在查全率和查准率两个方面均优于传统检索方法。

关 键 词:查询扩展  语义推理  语义检索  领域本体

A semantic retrieval system based on ontology
WANG Lu,YU Chao,WANG BO,WANG Guo-chun*,LIN Jin-hua,LI Hui. A semantic retrieval system based on ontology[J]. , 2013, 0(6): 726-730
Authors:WANG Lu  YU Chao  WANG BO  WANG Guo-chun*  LIN Jin-hua  LI Hui
Affiliation:4 (1. School of Software Vocational Technology, Changchun University of Technology, Changchun 130012, China; 2. Institute of Information Engineering, College of Humanities g- Information Changchun University of Technology Changchun 130122, China; 3. Changchun Railway Traffic Group Co. Led. , Changehun 130012, China; 4. Jilin Province Plastics Research Institute, Changchun 130022, China)
Abstract:Traditional retrieval method based on keyword matching does not work efficiently in some aspects. With the distributed bulk data processing technology, the user input query keywords is extended based on ontology and the extended keywords are retrieved by means of Lucene. The retrieved results are sequenced according to the semantic similarity and then backed to the users. The experiments show that the semantic retrieval system is better than the traditional one on both the precision ratio and recall ratio.
Keywords:query expansion  semantic reasoning  semantic retrieval  domain ontology.
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