Fuzzy agents for semantic web services discovery: Experiences in medical diagnostic systems

This work presents a hybrid distributed service oriented architecture (SOA), which exploits the agent paradigm to process the local knowledge and define associated semantic Web services. Task-oriented agents achieve decision making activities, by eliciting knowledge coded in proprietary file formats and then transforming this knowledge into deployable web services. Synergistic integration of fuzzy technologies and semantic Web methodologies represents a seamless background-layer for improving the semantic discovery and composition of Web services. A simple case study in medical context validates the applicability and the flexibility of this approach.