• DocumentCode
    1593169
  • Title

    Ontology-based semantic information retrieval

  • Author

    Xia, Chongpu ; Cheng, Xinrong ; Zhang, Lu ; Kang, Li

  • Author_Institution
    Dept. of Comput. Sci., China Agric. Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    183
  • Lastpage
    187
  • Abstract
    The traditional search engine can´t reach the recall rate and precision required. One increasingly popular method to structure information is through the use of ontology. However, OWL Classes does not do so well in expressing information needs and constructing complex query. Therefore, the term Meta Concept is put forward instead of OWL Class to express information. With Meta Concept, document resource and user requirement are redefined and new search modal based it is provided. A prototype is implemented and evaluated, and the results show large improvements over existing methods.
  • Keywords
    information needs; information retrieval; ontologies (artificial intelligence); search engines; document resource; information needs; meta concept; ontology-based semantic information retrieval; search engine; Libraries; OWL; Ontologies; Search engines; Semantics; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665559