• DocumentCode
    2557170
  • Title

    Post-controlled vocabulary compiling in competitive intelligence system

  • Author

    Jin, Li ; Yan, Dong

  • Author_Institution
    Coll. of Inf., Beijing Union Univ., Beijing, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    560
  • Lastpage
    563
  • Abstract
    It is necessary to build a competitive intelligence system (CIS) for the enterprise to make a timely and suitable strategic decision. So this paper designs a CIS based on Internet for the small and medium-size enterprises, providing intelligent retrieval, personalized services and so on. Furthermore in order to improve the efficiency of the retrieval, it gives a method of controlled vocabulary compiling based on ontology by analysis their relations. A comparative experiment on document retrieval in the CIS shows that post-controlled technology can retrieval efficiency significantly.
  • Keywords
    competitive intelligence; information retrieval; ontologies (artificial intelligence); small-to-medium enterprises; automatic indexing; competitive intelligence system; full-text retrieval; ontology; post-controlled vocabulary compiling; small and medium-size enterprises; Automatic control; Competitive intelligence; Computational Intelligence Society; Decision making; Deductive databases; Information analysis; Information retrieval; Machine assisted indexing; Ontologies; Vocabulary; automatic indexing; competitive intelligence system (CIS); full-text retrieval; ontology; post-controlled vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5478217
  • Filename
    5478217