Concept learning and heuristic classification in weak-theory domains
Artificial Intelligence
Case-based reasoning
IAAI '91 Proceedings of the The Third Conference on Innovative Applications of Artificial Intelligence
A DAML-Based Repository for QoS-Aware Semantic Web Service Selection
ICWS '04 Proceedings of the IEEE International Conference on Web Services
On automating Web services discovery
The VLDB Journal — The International Journal on Very Large Data Bases
A survey on web services composition
International Journal of Web and Grid Services
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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.