Charlie Abela, Matthew Montebello:
PreDiCtS: A Personalised Service Discovery and Composition Framework.
Abstract
The proliferation of Web Services is fostering the need for
applications to provide more personalisation during the service discovery
and composition phases. An application has to cater for different types of
users and seamlessly provide suitably understandable and refined
replies. In this paper, we describe the motivating details behind PreDiCtS
, a framework for personalised service discovery and composition. The
underlying concept behind PreDiCtS is that, similar service composition
problems could be tackled in a similar manner by reusing past composition
best practices. These have to be useful and at the same time flexible
enough to allow for adaptations to new problems. For this reason we are
opting to use template-based composition information. PreDiCtS’s
retrieval and refinement technique is based on conversational case-based
reasoning (CCBR) and makes use of a core OWL ontology called CCBROnto for
case representations.
URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-025
@inproceedings{REWERSE-RP-2006-025, author = {Charlie Abela and Matthew Montebello}, title = {PreDiCtS: A Personalised Service Discovery and Composition Framework}, booktitle = {Proceedings of Semantic Web Personalization Workshop, Budva, Montenegro (12th June 2006)}, year = {2006}, pages = {1--10}, url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2006-025} }