International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems. Part 2
Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Chimaera Ontology Environment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
Mapping between ontologies in agent communication
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Optimal communication vocabularies and heterogeneous ontologies
AC'04 Proceedings of the 2004 international conference on Agent Communication
Ontology Matching in Communication and Web Services Composition for Agent Community
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
A deduction system for meaning negotiation
DALT'10 Proceedings of the 8th international conference on Declarative agent languages and technologies VIII
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This paper considers the combination of agent communication and ontology alignment within a group of heterogeneous agents. The agents align their ontologies by constructing a shared communication vocabulary. Because ontology alignment is not a goal in itself, the agents refrain from it unless they believe it to be inevitable. We discuss three protocols that all implement lazy ontology alignment, although they give rise to different communication vocabularies.