• DocumentCode
    2833581
  • Title

    Intelligent search engine model based on similarity computation

  • Author

    Mai Fanjin ; Yue Xiaoguang ; Zhao Ziqiang

  • Author_Institution
    Modern Educ. Technol. Center, Guilin Univ. of Technol., Guilin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    Similarity computation is the idea that integrates knowledge of semantic similarity computation and contrary degree calculation into a unifying concept in this paper. An intelligent search engine model is designed based on the similarity computation and DotLucene. The new intelligent search engine model can understand the natural language of user, and gives the right answers to user. Finally, all those theories are demonstrated with the feasibility and validity by the experiment of the intelligent search engine model.
  • Keywords
    natural language processing; search engines; word processing; DotLucene; contrary degree calculation; intelligent search engine model; semantic similarity computation; user natural language; Displays; Educational institutions; Educational technology; Internet; Natural languages; Registers; Search engines; Software systems; DotLucene; contrary degree calculation; semantic similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497851
  • Filename
    5497851