• DocumentCode
    3255707
  • Title

    Integrating semantic inference in a probabilistic approach to information retrieval. II

  • Author

    Nie, Jim-Yun

  • Author_Institution
    Dept. of Comput. Sci. & Oper. Res., Montreal Univ., Que., Canada
  • fYear
    1992
  • fDate
    28-30 May 1992
  • Firstpage
    270
  • Lastpage
    273
  • Abstract
    For pt. I see Proc. of ICCI 1992 Conf. (1992). Semantic-based approaches and probabilistic approaches are actually used in information retrieval separately. Their integration allows the semantic-based approach to be endowed with a well-founded theoretic background, and the probabilistic approach to be evaluated with semantic consideration. The paper demonstrates that such an integration is sound theoretically. Using several concepts developed in the study of subjunctive conditionals, a modal logic model is proposed which is capable of describing the approach suggested in part I, and it is proved to be a probabilistic model
  • Keywords
    database theory; inference mechanisms; information retrieval; probabilistic logic; information retrieval; modal logic; probabilistic model; semantic inference; subjunctive conditionals; Computer science; Cost accounting; Information retrieval; Operations research; Optical imaging; Probabilistic logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Information, 1992. Proceedings. ICCI '92., Fourth International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-8186-2812-X
  • Type

    conf

  • DOI
    10.1109/ICCI.1992.227657
  • Filename
    227657