• DocumentCode
    2410884
  • Title

    A Context Management System for Supporting Context-Aware Applications

  • Author

    Kim, Eunhoe ; Choi, Jaeyoung

  • Author_Institution
    Sch. of Comput., Soongsil Univ., Seoul
  • Volume
    2
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    577
  • Lastpage
    582
  • Abstract
    This paper presents a context management system for supporting context-aware applications in a smart home. In a ubiquitous computing environment context changes dynamically and the applications have to adapt their behaviors according to the context. Therefore a context-aware system in a ubiquitous computing environment has to manage their context information effectively and satisfy qualities of context information required by context-aware applications. To solve these design issues we suggest a context-management system based on context metadata ontology. We defined context metadata ontology as the additional characteristics of context information to improve certainty, freshness, and understanding of the context information. Using the context metadata ontology, we have achieved effective context management. Our system also provides semantic-level interoperability between system components, because it is based on the ontology and service-oriented architecture. In this paper we explain context metadata ontology briefly, and we design and implement the context management system.
  • Keywords
    home computing; ontologies (artificial intelligence); software architecture; ubiquitous computing; context management system; context metadata ontology; service-oriented architecture; smart home; ubiquitous computing; Conference management; Context-aware services; Embedded computing; Environmental management; Home computing; Information management; Ontologies; Pervasive computing; Smart homes; Ubiquitous computing; context management; context metadata; interoperability; middleware; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3492-3
  • Type

    conf

  • DOI
    10.1109/EUC.2008.168
  • Filename
    4755288