Traditional negotiation systems have been implemented using agent architectures, where agents communicate through the exchange of messages, based on particular language definitions implicitly encoded, using different implementations and meaning in their messages. Our approach focuses on solving the language heterogeneity problem between agents during a negotiation process, by incorporating an ontology-based translator solution, which is executed only when a misunderstanding occurs. We designed the translator architecture considering that agents involved in a negotiation process may be using similar languages, and not all exchanged messages will cause failures due to misunderstandings. We executed experiments in a Web-based electronic negotiation system, incorporating multiple agents with different language syntax and meaning. The experimental tests show that the proposed solution improves the continuity of the execution of negotiation processes, resulting in more agreements.
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