KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Ontological Feedback in Multiagent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Optimal communication vocabularies and heterogeneous ontologies
AC'04 Proceedings of the 2004 international conference on Agent Communication
Agent clustering based on semantic negotiation
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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
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A key issue in Distributed Applications, that widely use Information Agents for implementing several typologies of services, is that of making reciprocally understandable the meaning of terms contained in the exchanged messages, in those cases where agents use different, heterogeneous ontologies. A possible way for facing this issue is offered by the semantic negotiation, a framework in which agents try to understand each other by negotiating the semantic of the terms. Several models and protocols of semantic negotiation have been proposed in the last years. However, most of these approaches are not able to support semantic negotiation without requiring agents either to share knowledge or to use a global common ontology, and none of them provides a semantic negotiation protocol that allows the whole agent community to contribute to the semantic understanding process between each agent pair. In this work, we propose the HIerarchical SEmantic NEgotiation (HISENE) protocol, based on the idea that an agent a should be able to partition the set of the other agents on the basis both of their personal expertise of the application domain, as well as on the particular capability that each of them shows in understanding a. We also give an implementation of the proposed protocol in the standard Java Agent DEvelopment Framework (JADE).