A Semantic Matching Method for Clustering Traders in B2B Systems

Authors:
Ricardo Ferraz Tomaz;Sofiane Labidi;Bernardo Wanghon
Affiliations:
-;-;-
Venue:
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
Year:
2003

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Cited 1

The search for potentially interesting products in an e-marketplace: An agent-to-agent argumentation approach

Expert Systems with Applications: An International Journal

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Abstract

This Work is part of the ICS (Intelligent Commerce System) project whose aim is to design and implement an effective Intelligent B2B Commerce System. This paper presents a practical application on Semantic Web and Web Services concepts where a matching procedure to associate potential buyers and suppliers in a B2B system is shown and the use of patterns and tools in the development of Semantic Web's structure is proposed as an alternative for its implementation.