Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Ontology Matching
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
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
Conservative extensions in expressive description logics
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Safe and economic re-use of ontologies: a logic-based methodology and tool support
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
An entropy inspired measure for evaluating ontology modularization
Proceedings of the fifth international conference on Knowledge capture
Task Oriented Evaluation of Module Extraction Techniques
ISWC '09 Proceedings of the 8th International Semantic Web Conference
An interaction-based approach to semantic alignment
Web Semantics: Science, Services and Agents on the World Wide Web
Using ontology modularization for efficient negotiation over ontology correspondences in MAS
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
Hi-index | 0.00 |
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). However, the complexity of this process is high, approaching Π2(p)-complete in some cases. As reducing this complexity is non-trivial, we propose the use of ontology modularization as a means of reducing the space over which possible concepts are negotiated. The suitability of different modularization approaches as filtering mechanisms for reducing the negotiation search space is investigated, and a framework that integrates modularization with Meaning-based Argumentation is proposed. We empirically demonstrate that some modularization approaches not only reduce the number of alignments required to reach consensus, but also predict those cases where a service provider is unable to satisfy a request, without the need for negotiation.