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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2012: Knowledge Engineering, Machine Learning and Lattice Computing with Applications pp 119–132Cite as

Ontology Recomposition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7828))

Abstract

Electronic devices provide many different kinds of simple services. Most of them is able to interoperate with each other. In order to provide sufficient quality of service discovery and composition, ontologies that are used to describe services should contain many concepts and relations, which makes them big and thus unsuitable to be processed mobile devices. To fully exploit the power of a service-oriented approach in a pervasive computing environment, a technique of runtime ontology recomposition is proposed. Service descriptions created from a common ontology are composed into a runtime version of the ontology. This runtime ontology is then used to resolve service queries instead of the original one. The descriptions’ semantic richness influences the quality of service discovery and composition. In order to assess their most favourable richness the original ontology is used.

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Author information

Authors and Affiliations

  1. University of Warsaw, Poland

    Tomasz Rybicki

Authors
  1. Tomasz Rybicki
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Editor information

Editors and Affiliations

  1. Department of Computational Science and Artificial Intelligence, University of the Basque Country, Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  2. Vicomtech-IK4, Paseo Mijeletegui, 20009, San Sebastian, Spain

    Carlos Toro

  3. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  4. School of Engineering, University of Canberra, Mawson Lakes Campus, ACT 2601, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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Rybicki, T. (2013). Ontology Recomposition. In: Graña, M., Toro, C., Howlett, R.J., Jain, L.C. (eds) Knowledge Engineering, Machine Learning and Lattice Computing with Applications. KES 2012. Lecture Notes in Computer Science(), vol 7828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37343-5_13

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  • DOI: https://doi.org/10.1007/978-3-642-37343-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37342-8

  • Online ISBN: 978-3-642-37343-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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