• DocumentCode
    2921670
  • Title

    Towards a question answering system based on precisiated natural language

  • Author

    Rohaninezhad, Mehdi ; Omar, Nazlia

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2011
  • fDate
    28-29 June 2011
  • Firstpage
    94
  • Lastpage
    98
  • Abstract
    Precisiated natural language is a new paradigm in soft computing based on information granulation. This paradigm is placed in central position of many investigations in the field of human machine interaction in these years. Precisited natural language addresses a model for dealing with vagueness of information and suggests a kind of knowledge representation, deduction and computational approach for natural language manipulation. Moreover, ontological architecture is an accepted model for developing this theory. In this work we are going to develop an ontology based question answering system which is one of crucial application of this paradigm.
  • Keywords
    man-machine systems; natural language processing; ontologies (artificial intelligence); question answering (information retrieval); uncertainty handling; human machine interaction; information granulation; knowledge representation; natural language manipulation; ontological architecture; precisiated natural language; question answering system; soft computing; Cognition; Computational modeling; Databases; Natural languages; OWL; Ontologies; Computing with words; fuzzy logic; ontology; precisiated natural language; question answering systems; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
  • Conference_Location
    Putrajaya
  • Print_ISBN
    978-1-61284-354-4
  • Electronic_ISBN
    978-1-61284-353-7
  • Type

    conf

  • DOI
    10.1109/STAIR.2011.5995771
  • Filename
    5995771