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基于局部共现分析和概念语义的查询扩展研究
引用本文:秦玉平,孟祥娜,王秀坤,王春立.基于局部共现分析和概念语义的查询扩展研究[J].微计算机应用,2010,31(6).
作者姓名:秦玉平  孟祥娜  王秀坤  王春立
作者单位:1. 渤海大学信息科学与工程学院,锦州,121000
2. 大连理工大学电子与信息工程学院,大连,116024
3. 大连海事大学信息科学技术学院,大连,116026
基金项目:国家自然科学基金,辽宁省教育厅重点实验室项目 
摘    要:针对信息检索中文档与查询之间的词不匹配问题,提出了一种基于共现分析和概念语义的查询扩展方法.该方法结合概念语义空间和局部共现分析来实现扩展,并改进了扩展词筛选函数.实验结果表明,该方法对于传统的查询扩展技术的信息查询效果有了很大提高,具有较好的查询性能.

关 键 词:语义查询扩展  概念  局部共现分析  信息检索

Research on QE Based on Local Co- occurrence Analysis and Concept Semanteme
QIN Yuping,MENG Xiangna,WANG Xiukun,WANG Chunli.Research on QE Based on Local Co- occurrence Analysis and Concept Semanteme[J].Microcomputer Applications,2010,31(6).
Authors:QIN Yuping  MENG Xiangna  WANG Xiukun  WANG Chunli
Affiliation:QIN Yuping1,MENG Xiangna1,WANG Xiukun2,WANG Chunli3(1College of Information Science and Technology,Bohai University,Jinzhou,121000,China,2School of Electronic and Information Engineering,Dalian University of Technology,Dalian,116024,3College of Information Science and Technology,Dalian MaritimeUniversity,116026,China)
Abstract:To mismatching problem between queries and documents in current information retrieval system,a new method based on local co-occurrence analysis and concept is proposed. This method combines with concept of semantic space and local co-occurrence analysis,and the filter function of expand word is improved. The experiment results show that the information technology effect has been improved greatly and has better retrieval performance compare with traditional query expansion methods.
Keywords:semantic query expansion  concept  local co-occurrence analysis  information retrieval  
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