• DocumentCode
    3280232
  • Title

    Towards ontological model accuracy´s scalability: Application to the Pervasive Computer Supported Collaborative Work

  • Author

    Hamadache, Kahina ; Lancieri, Luigi

  • Author_Institution
    Orange Labs., Caen, France
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Firstpage
    354
  • Lastpage
    359
  • Abstract
    In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social ...) the amount of information can quickly become unmanageable. Besides, as a PCSCW context model has to be usable on limited resources devices such as cell phones, GPS, ADSL Modems we needed a more efficient way to represent information. In this perspective the model we propose offers the possibility to represent a situation with more or less precision; that is to say with more or less abstraction. The final goal of this work is then to provide a model able to reason with a precise or fuzzy description of a situation.
  • Keywords
    groupware; ontologies (artificial intelligence); ubiquitous computing; PCSCW context model; collaborative work; fuzzy description; information mass; ontological model accuracy scalability; pervasive computing; Collaboration; Collaborative work; Computational modeling; Computers; Context; Context modeling; Ontologies; ontology; ontology reducing; pervasive computer supported collaborative work; swrl rewriting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine and Web Intelligence (ICMWI), 2010 International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4244-8608-3
  • Type

    conf

  • DOI
    10.1109/ICMWI.2010.5647999
  • Filename
    5647999