• DocumentCode
    2587030
  • Title

    Ontology Driven Formal Description of Swift Trust and Its Computational Model

  • Author

    Xu, Guangquan ; Li, Xiaohong ; Feng, Zhiyong ; Xiao, Yingyuan

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    19-20 Dec. 2010
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    This paper builds up an ontology conceptual model for swift trust, which is reasonable when considering the fuzzy nature of trust, as well as the heterogeneity of diverse ontologys developed by various engineers with different knowledge structure. Next, D-S theory is chosen as the reasoning tool for our swift trust, which may be more appropriate than the other uncertain theories including Fuzzy sets theory and Bayesian method. Finally, examples are taken to verify the validity and correctness of our proposed model.
  • Keywords
    Bayes methods; belief networks; formal concept analysis; fuzzy set theory; ontologies (artificial intelligence); uncertainty handling; Bayesian method; D-S theory; diverse ontologys; fuzzy sets theory; knowledge structure; ontology conceptual model; ontology driven formal description; swift trust; uncertain theories; Buildings; Computational modeling; Electronic commerce; Mathematical model; Merging; Ontologies; Semantics; D-S theory of belief functions; Matlab; ontology; ontology merging; swift trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2010 Second World Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9287-9
  • Type

    conf

  • DOI
    10.1109/WCSE.2010.111
  • Filename
    5718361