• DocumentCode
    2069968
  • Title

    A graph-based context modeling approach

  • Author

    Chihani, Bachir ; Bertin, Emmanuel ; Crespi, Noel

  • Author_Institution
    Orange Labs., Caen, France
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Context-aware applications are intrinsically complex to develop and maintain. Many frameworks were proposed aiming to support the development of these applications by providing developers with tools and design guidelines. However, these proposals constrain applications to share specific semantic for the modeled context data. This constraint may also be propagated to context reasoning which is the feature that enables application´s adaptive behavior. This paper proposes a new context management framework that relies on graph-based context modeling. This approach takes into account context presentation, while it gives the freedom to each application to define its own semantic for the manipulated context. The implementation of this framework and its evaluation in a case study shows the benefits, in terms of flexibility, for the development of context-aware applications.
  • Keywords
    graph theory; inference mechanisms; ubiquitous computing; adaptive behavior; context management framework; context presentation; context reasoning; context-aware applications; design guidelines; graph-based context modeling; semantic; Cognition; Context; Context modeling; Resource description framework; Semantics; Unified modeling language; XML; context; enterprise; graph; social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Communications in Network Technologies (SaCoNeT), 2013 International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/SaCoNeT.2013.6654570
  • Filename
    6654570