Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Introduction to Multiagent Systems
Introduction to Multiagent Systems
IEEE Intelligent Systems
IEEE Intelligent Systems
Semantic Web Fred - Automated Goal Resolution on the Semantic Web
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Information gathering during planning for Web Service composition
Web Semantics: Science, Services and Agents on the World Wide Web
A methodology for extracting ontological knowledge from spanish documents
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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Intelligent Agents and Semantic Web Services are two technologies with great potential in the future. Striking new applications can be developed by using them. However, in order for these technologies to be fully applicable to real settings, several problems remain unsolved. In particular, Semantic Web Services need for an upper software entity able to deal with them, while Intelligent Agents have historically suffered from a number of drawbacks not yet resolved. In this paper, we claim that integrating these technologies into a joint environment can overcome part of their respective problems while strengthening their advantages. The necessity for integrating these technologies and its benefits are analyzed in this work. Based on this study, we present SEMMAS, a framework for seamlessly integrating Intelligent Agents and Semantic Web Services. The fundamentals of the framework and its architecture are explained and a proof-of-concept implementation is described.