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Title: Cross-Community Interoperation Between the EMERALD and Rule Responder Multi-Agent Systems
Author(s): K. Kravari, T. Osmun, H. Boley, N. Bassiliades.
Keywords: RuleML, Semantic Web, Web Rules, intelligent multi-agent systems, EMERALD, Rule Responder.
Appeared in: Proc. 5th International Symposium on Rules: Research Based and Industry Focused (RuleML-2011@IJCAI), Springer Berlin / Heidelberg, LNCS 6826, pp. 44-51, Barcelona, Spain, 2011.
Abstract: The vision of the Semantic Web allows users to delegate complex actions to intelligent agents, which will act on behalf of their users in a variety of real-life applications. This paper focuses on two Semantic Web enabled multi-agent systems, EMERALD and Rule Responder, which can be employed to assist communities of users based on Semantic Web and multi-agent standards such as RDF, OWL, RuleML, and FIPA. The present work demonstrates how these multi-agent systems can interoperate to automate collaboration across communities using a declarative, knowledge-based approach. In addition, a multi-step interaction scenario among agents is presented, demonstrating the usefulness of interoperating between the above systems, exemplifying a general approach to cross-community collaboration.
See also : EMERALD - Rule Responder gateway

        This paper has been cited by the following:

1 Choinski, D., Metzger, M., Nocon, W., Polakow, G., Skupin, P., “AI-based support for experimentation in an environmental biotechnological process”, (2012) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7694 LNAI, pp. 155-166.