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基于局部共现分析和概念语义的查询扩展研究 被引量:4

Research on QE Based on Local Co-occurrence Analysis and Concept Semanteme
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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。 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
出处 《微计算机应用》 2010年第6期8-13,共6页 Microcomputer Applications
基金 国家自然科学基金项目(60603023) 辽宁省教育厅重点实验室项目
关键词 语义查询扩展 概念 局部共现分析 信息检索 semantic query expansion, concept,local co - occurrence analysis, information retrieval
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参考文献16

  • 1N J Belkin, G Kim, J Y Lee. G Muresan, M C Tang,X J Cool. Query length in interactive information retrieval//Proeeedings of the 26^th annual intemational AMC SIGIR conference on research and development in information retrieval. New York: AMC Press, 2003:205 - 212.
  • 2王继成,萧嵘,孙正兴,张福炎.Web信息检索研究进展[J].计算机研究与发展,2001,38(2):187-193. 被引量:118
  • 3V Rijsbergen. A new theoretical framework for information retrieval[ C]. Proceedings of AMC Conference on Research and Development in Information Retrieval, 1998 : 194 - 200.
  • 4任永功,范丹,武佳林.基于语义关联树的分类查询扩展算法[J].计算机科学,2009,36(9):238-241. 被引量:4
  • 5Dai Jiahong. Fuzzy cluster - based query expansion [ D ]. Master Thesis, Department of Information Management, National Sun Yat - sen University. Taiwan, 2004 : 2 - 5.
  • 6Jinxi Xn and W. Bruce Croft. Query Expansion Using Local and Global Document Analysis [ C]. In proc. CAN -SIGIR Conference Retrieval Zurich , Switzerland, 1996 : 4 - 11.
  • 7崔航,文继荣,李敏强.基于用户日志的查询扩展统计模型[J].软件学报,2003,14(9):1593-1599. 被引量:61
  • 8J. wei, S. Bressan, B. C. Ooi. Mining term association rules for automatic global query expansion : methodology and preliminary resuha[ C ]. In :first Information Conference on Web Information Systems Engineering,2005:366 -367.
  • 9Salton G , Buckley B. Term -weighting approaches in automatic textretrieval[ J ]. Information Processing and Management. 1995, 24(5) : 513 -523.
  • 10黄名选,严小卫,张师超.查询扩展技术进展与展望[J].计算机应用与软件,2007,24(11):1-4. 被引量:53

二级参考文献95

  • 1钱晓东,王正欧.基于神经网络文本检索词的语义扩充[J].计算机工程,2004,30(20):22-24. 被引量:3
  • 2赵军,金千里,徐波.面向文本检索的语义计算[J].计算机学报,2005,28(12):2068-2078. 被引量:28
  • 3王继成 邹涛 等.网络信息搜集与出版系统WinGPS.南京大学计算机科学与技术系,科技报告[M].,1999..
  • 4Furnas G W,Landauer T K,Gomez T K,et al.The vocabulary problem in human-system communication[J].Communication of ACM,1987,30(11):964-971.
  • 5Deerwester S,Dumain ST,Fumas G W,et al.Indexing by latent semantic analysis[J].Journal of ACM Transaction on Information System,2000,18(1):79-112.
  • 6Xu J X,Croft W B.Query expansion using local and global document analysis[C]//Frei H P,Harman D,Schauble P Wilkinson R,eds.Proceedings of the 19th Annual Internation SIGIR Conference on Research and Development in Information Retrieval.New York:ACM Press,1996:4-11.
  • 7Rocchio J J.Relevant Feedback in Information Retrieval.Chapter 14,Prentice-Hall INC,1997:313-323.
  • 8Xu J X,Croft W K Improving the effectiveness of information retrieval with local content analysis[J].ACM Transaction on Information System,2000,18 (1):79-112.
  • 9Zhang Cheng-qi,QinZhen-xing,YanXiao-wei.Association-based segmentation for Chinese-crossed query expansion[J].IEEE intellingent Informatics Bulletin,2005,5(1):18-25.
  • 10Qianli Jin,Jun Zhao,Bo Xu.Query expansion based on term similarity tree model[C]//Proceedings of IEEE Natural Language Processing and Knowledge Engineering.2003:400-406.

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