• DocumentCode
    491719
  • Title

    An integration platform for developing context-aware applications based on context reasoning and service automation techniques

  • Author

    Huang, Po-Cheng ; Chien, Cheng-Yi ; Lee, Kuan-Rong ; Kuo, Yau-Hwang ; Wu, Ming-Zoo

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan
  • Volume
    03
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    1819
  • Lastpage
    1823
  • Abstract
    This paper proposes an integration platform composed of agent platform and Open Services Gateway Initiative (OSGi) framework to assist in developing context-aware applications. For developing context-aware applications, we firstly have to gather data through sensor networks and reason the meaningful context information. Secondly, context-aware applications must make the decision according to the context information, and provide the user-centric service through selecting the suitable device and deciding the service flow. In the integration platform, the agent platform providing personalization and learning capabilities to assist in reasoning context information. Furthermore, OSGi providing the modularization bundles of applications which aid to management the devices and services. Finally, the elder mental care scenario is implemented to verify the performance of the integration platform.
  • Keywords
    distributed sensors; ubiquitous computing; context reasoning; context-aware applications; integration platform; sensor networks; service automation techniques; user-centric service; Automation; Computer architecture; Context-aware services; Monitoring; OWL; Ontologies; Pervasive computing; Senior citizens; Service oriented architecture; Space technology; Agent; Context-aware Application; Open Services Gateway Initiative (OSGi); Service Automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809428