Proceeding of the 5th International Conference on Electronic Commerce

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

Youyong Zou, Tim Finin, Li Ding, Harry Chen, and Rong Pan

September 30, 2003

Travel Agent Game in Agentcities (TAGA) is a framework that extends and enhances the Trading Agent Competition (TAC) scenario for Agentcities, an open multi-agent environment based on FIPA-compliant platforms. TAGA uses the semantic web languages and tools (RDF and OWL) to specify and publish the underlying common ontologies as a content language within FIPA ACL messages, as the basis for agent knowledge bases via XSB-based reasoning tools, and to describe and reason about services. TAGA extends the FIPA protocols to support open-market auctions and enriches Agentcities with auction services. The introduction 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.

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Tags: agent, agent, ai, auction, ecommerce, fipa, multiagent, owl, rdf, semantic web, tac, trading agent

Type: InProceedings

Publisher: Association for Computing Machinery

Organization: ACM

Note: DOI: 10.1145/948005.948018

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Google Scholar Citations: 120 citations