Ontology-driven pervasive service composition for everyday life

  • Authors:

  • Jiehan Zhou;Ekaterina Gilman;Jukka Riekki;Mika Rautiainen;Mika Ylianttila

  • Affiliations:

  • Computer Science and Engineering Laboratory, Dept. of Electrical Engineering, University of Oulu, Oulu, Finland;Computer Science and Engineering Laboratory, Dept. of Electrical Engineering, University of Oulu, Oulu, Finland;Computer Science and Engineering Laboratory, Dept. of Electrical Engineering, University of Oulu, Oulu, Finland;Computer Science and Engineering Laboratory, Dept. of Electrical Engineering, University of Oulu, Oulu, Finland;Computer Science and Engineering Laboratory, Dept. of Electrical Engineering, University of Oulu, Oulu, Finland

  • Venue:
  • ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
  • Year:
  • 2010

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Abstract

Incorporating service composition and pervasive computing into managing user's everyday activities gives rise to the paradigm of Pervasive Service Composition for everyday life. This paper presents a novel generic model for services supporting everyday activities. The resulting service composition consists of local services within service peers and services are executed as specified in peer coordination and service collaboration. We suggest a task-based, pervasive, semantic, and P2P-based approach for service composition for everyday life. We first address these fundamental characteristics. We give terminologies related to service composition, pervasive computing, ontology, and Pervasive Service Composition. Secondly, we analyze requirements for describing everyday activities. To meet the requirements we design an initial ontology model for capturing user's everyday activity and accommodating peer coordination and service collaboration in Pervasive Service Composition. Finally, we classify existing approaches to Web service composition.