• DocumentCode
    256397
  • Title

    Towards an ontology based architecture for context-aware services composition

  • Author

    Fissaa, Tarik ; Guermah, Hatim ; Hafiddi, Hatim ; Nassar, Mohamed ; Kriouile, Abdelouahed

  • Author_Institution
    SIME Lab., Mohammed V Souissi Univ., Agdal Rabat, Morocco
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    990
  • Lastpage
    995
  • Abstract
    An important challenge in pervasive computing environments is to automatically enable software applications by dynamically composing services. Service composition is a way to plan a business process to fulfill business goals that cannot be achieved by individual business services. Given a representation of services in OWL-S, service composition can be modeled as an Artificial Intelligence planning (AI planning) problem. Based on the initial context and the goal context, planning-based service composition launches a goal-oriented composition procedure to generate a plan for the service composition. In this paper, we present an overview of the architecture for the composition of context aware services based on ontologies, we also present our Composition Planner that allows to generate a plan corresponding to the request of the users according to their context.
  • Keywords
    business process re-engineering; knowledge representation languages; ontologies (artificial intelligence); planning (artificial intelligence); software architecture; ubiquitous computing; AI planning; OWL-S; artificial intelligence planning; business process; business services; context-aware services composition; ontology based architecture; pervasive computing; Adaptation models; Cognition; Context; Context modeling; Context-aware services; Ontologies; Planning; Context-aware service; Ontology; Service Composition; pervasive Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2014 International Conference on
  • Conference_Location
    Marrakech
  • Print_ISBN
    978-1-4799-3823-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2014.6911303
  • Filename
    6911303