An Approach to Search Web Services using Ontologies and CBR

Web Service Description Language and Universal, Discovery and Description Integration (UDDI) describe Web Services in a syntactical way and are helpful in their search, but they miss a semantic description of their specific conceptual domain. The search for services using solely a syntactical base may result in available services that donpsilat match the expected context, decreasing the accuracy of the search process. A methodology or approach based on the knowledge representation of each specific domain is clearly necessary for the improvement of the selection process. This work presents an approach based on CBR, Ontology and individual user profiles to improve services description and their search. Preliminary experiments showed that the results yielded using the proposed approach were efficient in the case studies conducted in a restricted domain.

[1]  Ian D. Watson,et al.  Applying case-based reasoning - techniques for the enterprise systems , 1997 .

[2]  Yanchun Zhang,et al.  Web Service Composition with Case-Based Reasoning , 2003, ADC.

[3]  David Al-Dabass,et al.  Semantic-Driven Matchmaking of Web Services Using Case-Based Reasoning , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[4]  Deborah L. McGuinness,et al.  Bringing Semantics to Web Services: The OWL-S Approach , 2004, SWSWPC.

[5]  Leo Obrst,et al.  The Semantic Web: A Guide to the Future of XML, Web Services and Knowledge Management , 2003 .

[6]  Amit P. Sheth,et al.  Semantic Web Services and Web Process Composition, First International Workshop, SWSWPC 2004, San Diego, CA, USA, July 6, 2004, Revised Selected Papers , 2005, SWSWPC.

[7]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[8]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[9]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[10]  Kunal Verma,et al.  Constraint driven Web service composition in METEOR-S , 2004, IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004.

[11]  Anura Gurugé,et al.  Universal Description, Discovery, and Integration , 2004 .

[12]  Matthias Klusch,et al.  Automated semantic web service discovery with OWLS-MX , 2006, AAMAS '06.