• DocumentCode
    3286558
  • Title

    Query Expansion Based on Topics

  • Author

    Zhang, Bing ; Du, Yajun ; Li, Haiming ; Wang, YuTing

  • Author_Institution
    Sch. of Math. & Comput. Sci., Xihua Univ., Chengdu
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    610
  • Lastpage
    614
  • Abstract
    Query expansion technology and formal concept analysis (FCA) are two effective methods for improving the query precision in the information retrieval field. In this paper, formal concept analysis which aims at modeling concepts is adopted to expand the user query and a new query expansion approach is proposed. We use the TREC as the contexts and build concept lattices. Then the expansion source is extracted from these concept lattices. For extracting the user interest topics, the terms of the expansion source are matched with the nodes of the ODP directory tree. And then the relevance topics are expanded to the query terms as the expansion results.
  • Keywords
    data analysis; query formulation; ODP directory tree; concept lattices; formal concept analysis; information retrieval; query expansion; query precision; user interest topic; user query; Computer science; Data mining; Fuzzy systems; Information analysis; Information retrieval; Intelligent control; Lattices; Mathematics; Search engines; Thesauri; FCA; TREC; query expansion; semantic similarity degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.464
  • Filename
    4666189