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15363 Towards a goal-based service framework for dynamic service discovery and composition
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Bonino da Silva Santos, L.O. and Goncalves da Silva, E.M. and Ferreira Pires, L. and van Sinderen, M.J. (2009) Towards a goal-based service framework for dynamic service discovery and composition. In: Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations, 27-29 Apr 2009, Las Vegas, USA. pp. 302-307. IEEE Computer Society. ISBN 978-0-7695-3596-8

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Official URL: http://dx.doi.org/10.1109/ITNG.2009.27

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Abstract

Service-Oriented Computing allows new applications to be developed by using and/or combining services offered by different providers. Service discovery and composition are performed aiming to comply with the client’s request in terms of functionality and expected outcome. In this paper we present a framework for dynamic service discovery and composition. This framework is based on goals and tasks as the means to represent the client’s expected outcome and functionality, respectively. The framework encompasses a goal-based service ontology, a set of domain and task ontologies
and a supporting service platform with a service matching and composition algorithm. The client informs the platform about the goal to be fulfilled. The platform’s matching algorithm searches in the repository for services that can fulfill the client’s goal. Moreover, the platform gathers client’s contextual information to use as inputs for the services and thus, reduce the need for client interaction. If no single service is able to fulfill the user’s goal, a service composition is then performed.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SE: Software Engineering, EWI-IS: Information Systems
Research Program:CTIT-ASSIST: Applied Science of Services for Information Society Technologies
Research Project:Freeband/A-MUSE: Architectural Modeling for Service Enabling in Freeband
ID Code:15363
Status:Published
Deposited On:18 June 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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