期刊文献+

基于Lucene的语义检索系统的设计和实现 被引量:7

Design and implementation of semantic search engine based on Lucene
下载PDF
导出
摘要 研究了语义检索,以Lucene为主要索引引擎,组合其它索引引擎,结合同义词查询扩展的概念,设计了一个语义检索系统,详细地描述了系统的实现过程。分析了语义检索的特点,从同义词扩展的角度,丰富和扩展了查询语义,查询扩展模块被很好的整合到以Lucene为基础的检索系统中,该系统在实验中表现了良好的效果。 It is focused on semantic search, Lucene is taken as the main search engine combined with other search engines, the concept of synonym query expansion is also used, based one which a semantic search system is designed. The details of the implementation of the system are described. The features of semantic search is analyzed, on the perspective of synonym query expansion, semantic search is enriched and expended, the model of synonym query expansion is well integrated into the search system based on Lucene, the excellent result is given by the experiment.
出处 《计算机工程与设计》 CSCD 北大核心 2008年第20期5336-5337,5341,共3页 Computer Engineering and Design
关键词 语义检索 同义词扩展 LUCENE 查询扩展 索引 semantic retrieval synonym expansion Lucene query expansion index
  • 相关文献

参考文献6

  • 1马晖男,吴江宁,潘东华.一种基于同义词词典的模糊查询扩展方法[J].大连理工大学学报,2007,47(3):439-443. 被引量:17
  • 2Lucene open source material[EB/OL], http://jakarta.apache.org/ lucene.
  • 3Xu JX,Croft WB.Improving the effectiveness of information retrieval with local context analysis[J].ACM Transactions on Information Systems,2000,18(1):79-112.
  • 4Deerwester S, Dumai ST, Furnas GW, et al. Indexing by latent semantic analysis [J]. ACM Transactions on Information Systems,2000,18( 1):79-112.
  • 5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
  • 6Cognitive Science Laboratory, Princeton University. WordNet [EB/OL]. http://www.cogsci.princeton .edu/- wn/,2003- 10-10.

二级参考文献19

  • 1Furnas GW, Landauer TK, Gomez LM, Dumais ST. The vocabulary problem in human-system communication. Communication of ACM, 1987,30(11):964~971.
  • 2Wen JR, Nie JY, Zhang HJ. Clustering user queries of a search engine. In: Proceedings of the 10th International World Wide Web Conference (WWW10). New York: ACM Press, 2001. 162~168.
  • 3Xu JX, Croft WB. Query expansion using local and global document analysis. In: Frei HP, Harman D, Schauble P, Wilkinson R,eds. Proceedings of the 19th Annual International SIGIR Conference on Research and Development in Information Retrieval. New York: ACM Press, 1996. 4~11.
  • 4Xu JX, Croft WB. Improving the effectiveness of information retrieval with local context analysis. ACM Transactions on Information Systems, 2000,18(1):79~112.
  • 5Deerwester S, Dumai ST, Furnas GW, Landauer TK, Harshman R. Indexing by latent semantic analysis. Journal of ACM Transactions on Information Systems, 2000,18(1):79~112.
  • 6Qiu Y, Frei H. Concept based query expansion. In: Korfhage R, Rasmussen EM, Willett P, eds. Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM Press, 1993.160~169.
  • 7Attar R, Fraenkel AS. Local feedback in full-text retrieval systems. Journal of the ACM, 1977,24(3):397~417.
  • 8Buckley C, Salton G, Allan J, Singhal A. Automatic query expansion using SMART. Technical Report, TREC-3, 1995. 69~80.
  • 9Ricardo B-Y, Berthier R-N. Modem Information Retrieval. England: Pearson Education Limited, 1999.
  • 10Hull D. Using statistical testing in the evaluation of retrieval experiments. In: Korfhage R, Rasmussen EM, Willett P, eds.Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York: ACM Press, 1993. 329~338.

共引文献76

同被引文献71

引证文献7

二级引证文献44

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部