Semantic awareness in automated web service composition through planning

  • Authors:

  • Ourania Hatzi;Dimitris Vrakas;Nick Bassiliades;Dimosthenis Anagnostopoulos;Ioannis Vlahavas

  • Affiliations:

  • Department of Informatics and Telematics, Harokopio University of Athens, Greece;Department of Informatics, Aristotle University of Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Greece;Department of Informatics and Telematics, Harokopio University of Athens, Greece;Department of Informatics, Aristotle University of Thessaloniki, Greece

  • Venue:
  • SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
  • Year:
  • 2010

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Abstract

PORSCE II is a framework that performs automatic web service composition by transforming the composition problem into AI planning terms and utilizing external planners to obtain solutions A distinctive feature of the system is that throughout the entire process, it achieves semantic awareness by exploiting semantic information extracted from the OWL-S descriptions of the available atomic web services and the corresponding ontologies This information is then used in order to enhance the planning domain and problem Semantic awareness facilitates approximations when searching for suitable atomic services, as well as modification of the produced composite service The alternatives for modification include the replacement of a certain atomic service that takes part in the composite service by an equivalent or a semantically relevant service, the replacement of an atomic service through planning, or the replanning from a certain point in the composite service The system also provides semantic representation of the produced composite service.