• DocumentCode
    3394674
  • Title

    Research on storage method based on fuzzy ontology

  • Author

    Sun Yi ; Wang Jing

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2013
  • fDate
    4-6 Jan. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In many fields the traditional ontology cannot represent and handle the inaccurate and uncertain information existing in the real world. The usual solution is introducing fuzzy logic into ontology to deal with such fuzzy information [1]. Currently, a large number of studies have been devoted to the construction of fuzzy ontology and made some achievements [2]. However, it is necessary to choose a suitable method to store the fuzzy ontology when it is applied to an actual system. Compared with the classical storage methods of ontology, storing fuzzy ontology not only meets the requirements of the classical ontology storage schema, but also handles a large number of fuzzy data, which brings great challenge to the storage of fuzzy ontology [3]. This paper proposes a new mixed storage mode based on relation database under the background of Traditional Chinese Medicine (TCM).
  • Keywords
    data handling; fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); relational databases; storage management; TCM; fuzzy data; fuzzy information; fuzzy logic; fuzzy ontology; mixed storage mode; relation database; traditional Chinese medicine; Computers; Distributed databases; Informatics; Ontologies; Relational databases; Fuzzy Ontology; Relation Database; TCM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Informatics (ICCCI), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4673-2906-4
  • Type

    conf

  • DOI
    10.1109/ICCCI.2013.6466274
  • Filename
    6466274