A distributed CBR framework through semantic web services. Recio-García, J., Díaz-Agudo, B., & González-Calero, P. In Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pages 88-101, 2006.
doi  abstract   bibtex   
jCOLIBRI is an Object-Oriented framework in Java that promotes software reuse for building CBR systems. It integrates the application of well proven Software Engineering techniques with a knowledge level description that separates the reasoning methods from the domain model. In this paper we present the evolution of the framework towards a Semantic Web Services (SWS) architecture where problem solving methods are represented as Web Services. In order to compose these services, our proposal uses an ontology with common CBR terminology and a Description Logic reasoner for choosing the most appropriate problem solving method. © 2006 Springer-Verlag London.
@inproceedings{
 title = {A distributed CBR framework through semantic web services},
 type = {inproceedings},
 year = {2006},
 pages = {88-101},
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 abstract = {jCOLIBRI is an Object-Oriented framework in Java that promotes software reuse for building CBR systems. It integrates the application of well proven Software Engineering techniques with a knowledge level description that separates the reasoning methods from the domain model. In this paper we present the evolution of the framework towards a Semantic Web Services (SWS) architecture where problem solving methods are represented as Web Services. In order to compose these services, our proposal uses an ontology with common CBR terminology and a Description Logic reasoner for choosing the most appropriate problem solving method. © 2006 Springer-Verlag London.},
 bibtype = {inproceedings},
 author = {Recio-García, J.A. and Díaz-Agudo, B. and González-Calero, P.},
 doi = {10.1007/978-1-84628-226-3-8},
 booktitle = {Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence}
}

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