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A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 5290)

Abstract

This paper presents a prototype system that exploits planning and an ontology concept ranking algorithm for composing semantic Web services (PORSCE). The system exploits the inferencing capabilities of a Description Logics Reasoner in order to compute the subsumption hierarchy of the ontologies whose concepts are used in the OWL-S Profile descriptions as input and output concepts. The concept ranking algorithm is applied over this hierarchy in order to determine similar concepts based on different degrees of semantic matching relaxation, such as subclass or sibling hierarchical relationships. The domain independent planning system’s role is to semantically search the space of possible compositions of Web services, generating plans according to the desirable level of relaxation.

Keywords

  • Semantic Web Service Composition
  • Planning
  • Ontology Concept Ranking
  • Semantic Matching Relaxation

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  • DOI: 10.1007/978-3-540-88309-8_5
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© 2008 Springer-Verlag Berlin Heidelberg

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Hatzi, O., Meditskos, G., Vrakas, D., Bassiliades, N., Anagnostopoulos, D., Vlahavas, I. (2008). A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition. In: Geffner, H., Prada, R., Machado Alexandre, I., David, N. (eds) Advances in Artificial Intelligence – IBERAMIA 2008. IBERAMIA 2008. Lecture Notes in Computer Science(), vol 5290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88309-8_5

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  • DOI: https://doi.org/10.1007/978-3-540-88309-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88308-1

  • Online ISBN: 978-3-540-88309-8

  • eBook Packages: Computer ScienceComputer Science (R0)