Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Balancing ontological and operational factors in refining multiagent neighborhoods
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Optimal communication vocabularies and heterogeneous ontologies
AC'04 Proceedings of the 2004 international conference on Agent Communication
HISENE2: a reputation-based protocol for supporting semantic negotiation
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Ontology agent for ensuring semantic interoperability among agents and semantic web
International Journal of Knowledge Engineering and Data Mining
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Ontologies play a key role in the development of Multi-Agent Systems (MASs) for the Semantic Web, providing conceptual description of the agents' world. However, especially in open MASs, agents use different ontologies and this often leads to communication failures. Semantic negotiation is a recent framework which provides an effective solution to such a problem, but it is a too heavy framework to be implemented in large agent communities. In this paper, we deal with the inefficiency in semantic negotiations, and we show how a possible solution is to build a common representation of the different terms used by the agents. We argue that a reasonable compromise to use a common ontology consists of combining it with semantic negotiation and we propose an algorithm which implements this idea in the recent HISENE semantic negotiation framework. Moreover, the semantic negotiation is exploited, in our proposal, to dynamically enrich the global ontology.