• DocumentCode
    427861
  • Title

    Ontology based unstructured text query

  • Author

    Xu, Meng ; Wang, Yinglin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
  • Volume
    2
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    1426
  • Abstract
    This paper describes an approach that offers a more general and easier way to access the knowledge repository as a useful part of a knowledge management system. The approach applies a domain ontology in the query text analysis and ontology mapping technique in the knowledge search process. It sets up relationship between the query text in unstructured natural language expressions and the instances in the knowledge base to find those instances that match the condition expressed by the query most. The application magnifies the scope of ontology, and promotes the applicability of ontology-based system.
  • Keywords
    deductive databases; natural languages; ontologies (artificial intelligence); query processing; text analysis; knowledge management system; knowledge repository; ontology mapping technique; query text analysis; unstructured natural language expressions; unstructured text query; Diseases; Information analysis; Insects; Knowledge based systems; Knowledge management; Natural languages; Ontologies; Portals; Text analysis; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1399830
  • Filename
    1399830