Abstract
Web services are currently one of the main technologies employed to create a systematic and extensible framework for application development. This is done by means of allowing the interaction among the applications of an organization. However, due to the large number of web services that may exist nowadays, locating one or several web services to fulfill the functional requirements of a user, an organization or a business entity, is a complex and time consuming activity for application developers. It also reduces their productivity. One possible solution for this problem is the implementation of a semantic component, structured as a library and populated with cases represented by web services in such a way that it may extend the functionality of the existing web services directories. The semantic component must provide a mechanism for classifying and selecting web services based on their functionality and supporting the search of WSDL description files of selected web services in a non sequential order within the directories. This paper describes a model for searching and selecting web services in UDDI directories supported by case based reasoning. Advantages and limitations of the model are also described.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dustdar, S., Shreiner, W.: A Survey on Web Services Composition. International Journal on Web and Grid Services 1(1), 1–30 (2005)
Kolodner, J.: Case – Based Reasoning, pp. 145–146. Morgan Kaufmann Publisher Inc., San Francisco (1993)
Aamondt, A., Plaza, E.: Case – Based Reasoning: Foundational Issues, Methodological Variations and System Approach, http://www.iiia.csic.es/People/enric/AICom.pdf
Kolodner, J.: Maintaining organization in a dynamic long-term memory. Cognitive Science 7, 243–280 (1983)
Bareiss, R.: PROTOS; a unified approach to concept representation, classification and learning. Technical Report (1998)
Porter, B., Bareiss, R., Holte, R.: Concep learning and heuristic classification in weak theory domains. Artificial Intelligence 45, 229–263 (1990)
Brown, B., Lewis, L.: A case-based reasoning solution to the problem of redundant resolutions of nonconformance’s in large scale manufacturing. In: Smith, R., Scott, C. (eds.) Innovative Applications for Artificial Intelligence, vol. 3. MIT Press, Cambridge (1991)
Wolfgang, S.: The State of Art of Searching the Web. In: German – American Frontiers of Engineering Symposium (2004)
Wikipedia: Web Semántica, http://es.wikipedia.org/wiki/Web_sem%C3%A1ntica
Berardi, D., Grüninger, M., Hull, R., McIlraith, S.: Towards a First – Order Ontology for Semantic Web Services. In: W3C WorkShop on Constraints and Capabilities for Web Services (2004)
Mandell, D., McIlraith, S.: A Bottom – Up Approach to Automating Web Services Discovery, Customization, and Semantic Translation. In: Workshop on E-Services and the Semantic Web (2003)
Soydan, A., Singh, M.: A DAML – Based Repository for QoS – Aware Semantic Web Service Selection. In: IEEE International Conference on Web Services (2004)
Benatallah, B., Hacid, M., Leger, A., Rey, C., Toumani, F.: On Automating Web Service Discovery. VLDB Journal (2004)
Wang, Y., Stroulia, E.: Semantic Structure Matching for Assessing Web – Service Similarity. In: First International Conference on Service Oriented Computing (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Diaz, O.G.F., Salgado, R.S., Moreno, I.S., Ortiz, G.R. (2006). Searching and Selecting Web Services Using Case Based Reasoning. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_6
Download citation
DOI: https://doi.org/10.1007/11751632_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34077-5
Online ISBN: 978-3-540-34078-2
eBook Packages: Computer ScienceComputer Science (R0)