The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontology Matching
Argumentation over ontology correspondences in MAS
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Conjunctive queries for ontology based agent communication in MAS
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A cooperation-based approach for evolution of service ontologies
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Ontology negotiation in heterogeneous multi-agent systems: The ANEMONE system
Applied Ontology - Formal Ontologies for Communicating Agents
Improving Ontology Matching Using Meta-level Learning
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
A cooperative approach for composite ontology mapping
Journal on data semantics X
Improved Relaxation-based Ontology Matching Negotiation
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Effective communication in open environments relies on the ability of agents to reach a mutual understanding of the exchanged message by reconciling the vocabulary (ontology) used. Various approaches have considered how mutually acceptable mappings between corresponding concepts in the agents' own ontologies may be determined dynamically through argumentation-based negotiation (such as Meaning-based Argumentation, MbA). In this paper we present a novel approach to the dynamic determination of mutually acceptable mappings, that allows agents to express a private acceptability threshold over the types of mappings they prefer. We empirically compare this approach with the Meaning-based Argumentation and demonstrate that the proposed approach produces larger agreed alignments thus better enabling agent communication. Furthermore, we compare and evaluate the fitness for purpose of the generated alignments, and we empirically demonstrate that the proposed approach has comparable performance to the MbA approach.