• DocumentCode
    2774585
  • Title

    A New Strategy of Query Expansion using Formal Concept Analysis

  • Author

    Hai, Yufeng ; Du, Yajun ; Li, Haiming

  • Author_Institution
    Xihua University, China
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    34
  • Lastpage
    34
  • Abstract
    One of the most important tasks of search engine is presenting more additional relevant web pages and reducing those web pages which are useless for user. Query expansion is an efficient method for this. In this paper, a new strategy of expanding query terms based on formal concept analysis was proposed. In this strategy basic rules and extended rules are mined from concept lattice which is built from lower adjacency set of user¿s requirements for query expansion. By matching between terms of web pages of upper adjacency set and association rules, search engine can return web pages to user much better. There is no need to scan all nodes of lattice, and search engine can provide more additional relevant web pages and reduce useless web pages to user with an effective way.
  • Keywords
    Association rules; Data mining; Databases; Forestry; Information analysis; Information science; Knowledge representation; Lattices; Search engines; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2006. CIT '06. The Sixth IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7695-2687-X
  • Type

    conf

  • DOI
    10.1109/CIT.2006.18
  • Filename
    4019856