• DocumentCode
    2345932
  • Title

    Research on natural language IR system based on genetic algorithm and VSM

  • Author

    Kang, Hai-Yan ; Li, Yan-Fang ; Teng, Gui-fa ; Fan, Xiao-Zhong ; He, Xiao-Yang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Hebei Agric. Univ., Baoding, China
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    1220
  • Abstract
    This work brought forward a kind of arithmetic of information retrieval, namely combining the positive genes of genetic algorithm and vector space model on the base of nature language. Genetic algorithm is used for a predication case-frame of query in this system. Based on HowNet, this algorithm gains inherent characteristics of data objects, and retrieve the useful information according to those characteristics. So the system implements information retrieval from hierarchical knowledge of concepts. This work also introduces the key technology of information retrieval. According to the research on the algorithm model, we design an IR system in financial domain. It is the most effective particularly in question-answering system. In addition, it can be extended to the other domain. It considerably enhances the intelligence degree of information retrieval by this algorithm.
  • Keywords
    genetic algorithms; information retrieval; natural languages; HowNet; financial domain; genetic algorithm; information retrieval; natural language IR system; question-answering system; vector space model; Artificial intelligence; Genetic algorithms; Indexing; Information retrieval; Knowledge management; Natural languages; Space technology; Tagging; Web server; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382377
  • Filename
    1382377