• DocumentCode
    558683
  • Title

    Dynamic service adaptation for plug and play device interoperability

  • Author

    El Kaed, Charbel ; Denneulin, Yves ; Ottogalli, François-Gaël

  • Author_Institution
    France Telecom R&D, Grenoble Univ., Grenoble, France
  • fYear
    2011
  • fDate
    24-28 Oct. 2011
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Advances in embedded systems, plug-n-play protocols and software architectures bring the ubiquitous system vision to the near future. Home devices supporting such protocols can be automatically discovered, configured and invoked for a given task. Smart applications are shaping the home into a smart one by orchestrating devices in an elegant manner. Several protocols coexist in smart homes but interactions between devices cannot be put into action unless devices are supporting the same protocol. Furthermore, smart applications must know in advance services names hosted by devices to interact with. However, such names are often semantically equivalent but syntactically different among devices, needing translation mechanisms. In this work we present how ontology alignment techniques assisted with pattern detection rules are used to find such correspondences between equivalent devices. Once the mapping is validated we apply a code generation technique to reach a dynamic service adaptation. We validated the approach on an HP Printer.
  • Keywords
    open systems; protocols; ubiquitous computing; HP printer; code generation; dynamic service adaptation; embedded system; ontology alignment technique; pattern detection rules; plug and play device interoperability; plug-n-play protocols; smart homes; software architectures; translation mechanism; ubiquitous system vision; Ontologies; Printers; Protocols; Semantics; Service oriented architecture; Switches; Home Devices; OA; plug-n-playOA; plug-n-playS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2011 7th International Conference on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4577-1588-4
  • Electronic_ISBN
    978-3-901882-44-9
  • Type

    conf

  • Filename
    6103973