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|Service discovery and composition : PreDiCtS approach
|University of Malta. Faculty of ICT
|Abela, C., & Montebello, M. (2006). Service discovery and composition : PreDiCtS approach. 4th Computer Science Annual Workshop (CSAW’06), Bighi. 1-10.
|The proliferation of Web Services is fostering the need for service-discovery and composition tools to provide more personalisation during the service retrieval process. In this paper, we describe the motivating details behind PreDiCtS, a framework for personalised service-retrieval. In our approach we consider that similar service composition problems can be tackled in a similar manner by reusing and adapting past composition best practices or templates. The proposed retrieval process uses a mixed- initiative technique based on Conversational Case-Based Reasoning (CCBR), that provides i) for a clearer identification of the user’s service requirements and ii) based on these requirements, finds suitable service templates that satisfy the user’s goal. We discuss how retrieval can vary through the use of different CCBR algorithms and how adaptation can be performed over the retrieved templates thus providing the personalisation feature in PreDiCtS.
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|Proceedings of CSAW'06 - A1.pdf
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