• DocumentCode
    3244457
  • Title

    Generic context ontology modelling: A review and framework

  • Author

    Zainol, Zuraini ; Nakata, Keiichi

  • Author_Institution
    Inf. Res. Centre, Univ. of Reading, Reading, UK
  • fYear
    2010
  • fDate
    2-4 Nov. 2010
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    Improvements in context modelling and reasoning techniques have facilitated the development of context-aware applications, where these applications need to accommodate and respond autonomously to changing context information. Context is often used to refer to any piece of information regarding the surrounding environment, where human activities and computing tasks take place. In this paper, we propose a generic context model, which consists of three fundamental classes, namely Extrinsic Context, Interface Context, and Intrinsic Context. The goal of the proposed framework is to represent context information in general, which can be implemented to facilitate common context representation, context matching, and context reasoning.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); ubiquitous computing; context aware applications; context matching; context modelling; context reasoning; context representation; extrinsic context; generic context ontology modelling; interface context; intrinsic context; reasoning techniques; Context; Lighting; Context; Context ontology model; Extrinsic Context; Interface Context; Intrinsic Context; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development (ICCTD), 2010 2nd International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8844-5
  • Electronic_ISBN
    978-1-4244-8845-2
  • Type

    conf

  • DOI
    10.1109/ICCTD.2010.5646137
  • Filename
    5646137