• DocumentCode
    3406914
  • Title

    Ontology-based enterprise information retrieval model

  • Author

    Gao, Huiying ; Zhao, Jinghua ; Yin, Qiuju ; Wang, Jingxia

  • Author_Institution
    Sch. of the Manage. & Econ., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1326
  • Lastpage
    1330
  • Abstract
    As the traditional way of information retrieval is based on keywords that the computer cannot understand users´ potential semantic and personalized query requirements, the paper proposes an ontology-based method of the product information retrieval. Using the product information retrieval as an example, the framework of the product information query system is studied and an ontology based algorithm is designed, which provides a reference for future information retrieval.
  • Keywords
    ontologies (artificial intelligence); query processing; ontology-based enterprise information retrieval model; personalized query requirements; product information query system; product information retrieval; Information retrieval; Intelligent systems; Knowledge based systems; Laboratories; Microstrip; OWL; Ontologies; Petroleum; Resource description framework; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408118
  • Filename
    5408118