Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
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 PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology Matching
The Description Logic Handbook
The Description Logic Handbook
Just the right amount: extracting modules from ontologies
Proceedings of the 16th international conference on World Wide Web
Ontology module extraction for ontology reuse: an ontology engineering perspective
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
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
Ontology negotiation in heterogeneous multi-agent systems: The ANEMONE system
Applied Ontology - Formal Ontologies for Communicating Agents
Semantic Modularity and Module Extraction in Description Logics
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
A logical framework for modularity of ontologies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Conservative extensions in expressive description logics
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dynamic selection of ontological alignments: a space reduction mechanism
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Task Oriented Evaluation of Module Extraction Techniques
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Computing least common subsumers in description logics
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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Efficient agent communication in open and dynamic environments relies on the agents ability to reach a mutual understanding over message exchanges. Such environments are characterized by the existence of heterogeneous agents that commit to different ontologies, with no prior assumptions regarding the use of shared vocabularies. Various approaches have therefore considered how mutually acceptable mappings may be determined dynamically between agents through negotiation. In particular, this paper focusses on the meaning based negotiation approach, proposed by Laera et al [1], that makes use of argumentation in order to select a set of mappings that is deemed acceptable by both agents. However, this process can be highly complex, reaching $\Pi_{2}^{(p)}$-complete. Whilst it is non-trivial to reduce this complexity, we have explored the use of ontology modularization as a means of reducing the space of possible concepts over which the agents have to negotiate. In this paper, we propose an approach that combines modularization with argumentation to generate focused domains of discourse to facilitate communication. We empirically demonstrate that we can not only reduce the number of alignments required to reach consensus by an average of 75%, but that in 41% of cases, we can identify those agents that would not be able to fully satisfy the request, without the need for negotiation.