Using semantic web technology in multi-agent systems: a case study in the TAGA trading agent environment

Authors:
Youyong Zou;Tim Finin;Li Ding;Harry Chen;Rong Pan
Affiliations:
U.Maryland Baltimore County, Baltimore, MD;U.Maryland Baltimore County, Baltimore, MD;U.Maryland Baltimore County, Baltimore, MD;U.Maryland Baltimore County, Baltimore, MD;U.Maryland Baltimore County, Baltimore, MD
Venue:
ICEC '03 Proceedings of the 5th international conference on Electronic commerce
Year:
2003

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Abstract

Travel Agent Game in Agentcities (TAGA) is the framework that extends and enhances the Trading Agent Competition (TAC) scenario to work in Agentcities, an open multi agent environment based on FIPA compliant pla tforms. TAGA uses the semantic web languages and tools (RDF and OWL) to specify and publish the underlying common ontologies; as a content language within the FIPA ACL messages; as the basis for agent knowledge bases via XSB-based reasoning tools; to describe and reason about services. TAGA extends the FIPA protocols to support open market auctions and enriches the Agentcities with auction services. The introducing of the semantic web languages improves the interoperability among agents. TAGA is intended as a platform for research in multi-agent systems, the semantic web and automated trading in dynamic markets as well as a self-contained application for teaching and experimentation with these technologies.