• DocumentCode
    2732477
  • Title

    Modeling

  • Author

    Mazuel, Laurent ; Sabouret, Nicolas

  • Author_Institution
    Lab. d´´informatique de Paris 6 - LIP6, Paris
  • fYear
    2007
  • fDate
    5-12 Nov. 2007
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    In this paper, we tackle natural language (NL) command interpretation for artificial agents. Our architecture relies on a logical modeling of the user´s command to enhance the semantic interpretation. This allows us to catch the relations between terms in the user sentence. We present our approach based on a surface syntactic analysis. We first define our surface analysis algorithm, based on the recognition of the ontology relation in a command to build its logical model. Lastly, we briefly show how our model can be used for semantic interpretation of the command.
  • Keywords
    ontologies (artificial intelligence); semantic Web; software agents; artificial agents; command semantic interpretation; logical modeling; natural language; semantic interpretation; surface analysis algorithm; surface syntactic analysis; Algorithm design and analysis; Artificial intelligence; Conferences; Costs; Feedback; Information analysis; Intelligent agent; Natural languages; Ontologies; Writing; Natural Language CommandSurface analysisLogical formOntologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Silicon Valley, CA
  • Print_ISBN
    0-7695-3028-1
  • Type

    conf

  • DOI
    10.1109/WI-IATW.2007.100
  • Filename
    4427599