Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A model for web services discovery with QoS
ACM SIGecom Exchanges
Semantic E-Workflow Composition
Journal of Intelligent Information Systems
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This work approaches the problem of modelling interactions between users and an adaptive system. It is presented the approach adopted in the MAIS project for modelling and designing a recommendation environment for delivering services in a personalized way. The model relies on semantic description of services, on rule-based user profile (part of these studies came from the experience in the KIWI project) and on the use of semantic matching algorithms. We also present the design of the recommendation engine, that is the core subcomponent of the Environment, which performs the task to evaluate each service according to user preferences.