Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Statistics and Computing
Probabilistic Message Passing in Peer Data Management Systems
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
The Journal of Machine Learning Research
An Efficient Method for Computing Alignment Diagnoses
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
A Conflict-Based Operator for Mapping Revision
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Optimal communication vocabularies and heterogeneous ontologies
AC'04 Proceedings of the 2004 international conference on Agent Communication
How groups develop a specialized domain vocabulary: A cognitive multi-agent model
Cognitive Systems Research
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This paper proposes a generic decentralized method for interconnected entities to compute globally coherent sets of mappings with respect to the semantics of ontological specifications and their subjective mapping preferences. This problem is formed as an optimization problem between inter-dependent agents. Globally coherent sets of mappings are computed by means of a distributed extension of the max-plus algorithm, taking also into account the feedback entities receive on their subjective mappings from distant others. Experimental results from a large number of networks of varying complexity show the strengths of the proposed approach and point to further work.