An Adaptive Multi-Agent System for Ontology Co-evolution.

ICAART 2015: Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1(2015)

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摘要
A dynamic ontology evolution reflects the ontology adaptation, to a set of changes and their propagation to the other dependent components, to ensure its consistency. This process needs a frequent involvment of the user (ontologist), which is a complex and time consuming task. As a solution, in this paper we present an extension of an ontology evolution tool called DYNAMO MAS based on an adaptive multi-agent system (AMAS). We improve agents by adding new behaviour to adapt to ontologist actions in order to improve the proposals already made and to propose others.
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