• DocumentCode
    1618774
  • Title

    Keywords Retrieval Based on Ontology Inference

  • Author

    Chen, Guowei ; Zhang, Pengzhou

  • Author_Institution
    Commun. Univ. of China, Beijing, China
  • fYear
    2012
  • Firstpage
    1750
  • Lastpage
    1753
  • Abstract
    As a conception modeling tool, ontology can describe the information system in the semantic and the knowledge level, it can also express the relations of concepts, the inheritance hierarchy of concepts, potential relationships and axioms precisely, and so on. Meanwhile, it provides a solution for many problems of massive information caused by the rapid development of the Internet, such as how to organize, manage and maintain vast amounts of knowledge information, and provide users with efficient services to access them, also an effective way of sharing and representing knowledge. This paper proposes a keyword retrieval method based on thesaurus and ontology, to solve vary problems between user´s keywords and words used by domain experts to describe the ontology, in order to improve the efficiency and accuracy of retrieval, aiming at combining the general retrieval system and domain ontology effectively.
  • Keywords
    Internet; inference mechanisms; information retrieval; ontologies (artificial intelligence); thesauri; Internet; concept inheritance hierarchy; concept relation; conception modeling tool; domain ontology; general retrieval system; information system; keywords retrieval method; knowledge level; ontology inference; semantic level; thesaurus; Cognition; Information retrieval; Information systems; Ontologies; Semantics; Standards; Ontology; information retrieval; semantic web; thesaurus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.463
  • Filename
    6322753