• DocumentCode
    2419981
  • Title

    The Optimization in News Search Engine Using Formal Concept Analysis

  • Author

    Liu, Yan ; Wang, Qingxian ; Guo, Lei ; Yao, Qing ; Lv, Nan ; Wang, Qiang

  • Author_Institution
    Inf. Eng. Univ., Lahore
  • Volume
    2
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    Being faced with the huge amount and rapid renewal of the news data, how to help users to obtain the news content they need rapidly, and how to use the resource of news information effectively, both come to the present problems. formal concept analysis(FCA) arose as a mathematical theory for the formalization of the concept of \´concept\´ and has more advantages in concept description and relation measurement than binary-relationship such as database. The technique of using FCA to optimize the personal news search engine is proposed in this paper, including users\´ query background construction using FCA , query keywords optimization based on users\´ background and the new layout strategy of search result based on "Concept Tree".
  • Keywords
    information resources; query formulation; search engines; Concept Tree; formal concept analysis; mathematical theory; news content; news data; news information; personal news search engine; query background construction; query keywords optimization; Art; Data engineering; Data mining; Data visualization; Databases; Information analysis; Information retrieval; Lattices; Search engines; TV broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.578
  • Filename
    4406043