Efficiently finding web services using a clustering semantic approach
Proceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation: organized with the 17th International World Wide Web Conference (WWW 2008)
A computational model for developing semantic web-based educational systems
Knowledge-Based Systems
Supporting interoperability between web-based educational systems
FIE'09 Proceedings of the 39th IEEE international conference on Frontiers in education conference
An ontology-based software framework to provide educational data mining
Proceedings of the 2010 ACM Symposium on Applied Computing
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Biologically-inspired clustering of semantic Web services. Birds or ants intelligence?
Concurrency and Computation: Practice & Experience
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With the emerging growth of web services tecnology, the Web is now evolving to become a service provider. In this context, the semantic web services discovery and composition are hard tasks because injecting context into adaptive service integration raises a number of significant challenges, i.e. defining effective metrics to manage adaptation. This paper proposes an algorithm for Semantic Web Services discovery and compositon which makes use of similarity metrics.