Ontology Oriented Approach to Service Selection and Invocation in Complex Context Analysis

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 131)

Abstract

Context-aware applications running in the intelligent space are taken into account and their execution in the service oriented environment is considered. It has been presented where and how SOA services can be utilized during their execution: to analyze current context of the application and to support execution of strictly determined actions suitable for that context. The proposed mechanism of context-aware service selection and invocation is based on two items: ontology description of the context and a model of available services. It was shown that proposed solution is less efficient but more flexible than direct context analysis.

References

  1. 1.
    Chaari S, Badr Y, Biennier F (2008) Enhancing web service selection by QoS-based ontology and WS-policy. In: Proceedings of the 2008 ACM symposium on applied, computing, pp 2426–2431Google Scholar
  2. 2.
    Christensen K, Olesen TH, Thomsen LL (2006) Matching semantically described web services using ontologies. Inf Technol Control 35(3A):267–275Google Scholar
  3. 3.
    Hao Y, Zhang Y (2007) Web services discovery based on schema matching. In: Proceedings of the thirtieth Australasian conference on computer science, vol 62, pp 107–113Google Scholar
  4. 4.
    Hsu HJ, Wu SY, Wang FJ (2010) A methodology to developing situation-aware pervasive applications with service oriented architecture, proceedings of the 6th world congress on services, pp 657–660Google Scholar
  5. 5.
    Krawczyk H, Nasiadka S (2011) A new model for context-aware applications analysis and design. In: The fifth international conference on mobile ubiquitous computing, systems, services and technologies, pp 211–217Google Scholar
  6. 6.
    Lee JH, Hashimoto H (2000) Intelligent space, proceedings of the international conference on intelligent robots and systems, pp 1358–1363Google Scholar
  7. 7.
    Lv Q, Zhou J, Cao Q (2009) Service matching mechanisms in pervasive computing environments. In: International workshop on intelligent systems and applications, pp 1–4Google Scholar
  8. 8.
    Maximilien EM, Singh MP (2004) A framework and ontology for dynamic Web services selection. Internet Comput 8(5):84–93Google Scholar
  9. 9.
    Medjahed B, Bouguettaya A (2005) A dynamic foundational architecture for semantic web services. Distrib Parallel Databases 17(2):179–206Google Scholar
  10. 10.
    Paolucci M, Kawamura T, Payne TR, Sycara KP (2002) Semantic matching of web services capabilities. In: Proceedings of the first international conference on semantic web, pp 333–347Google Scholar
  11. 11.
    Yang Z, Chen J, Wu B (2010) A new ontology-based service matching algorithm. In: 6th world congress on services, pp 170–171Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Gdansk University of TechnologyGdanskPoland

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