C4.5: programs for machine learning
C4.5: programs for machine learning
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
I-DOCS: Distributed Agent-Assisted Knowledge Fusion for Disease Gene Discovery
ICPADS '01 Proceedings of the Eighth International Conference on Parallel and Distributed Systems
Local consensus ontologies for B2B-oriented service composition
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Autonomic Service Adaptation in ICENI using Ontological Annotation
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Experimentation with Local Consensus Ontologies with Implications for Automated Service Composition
IEEE Transactions on Knowledge and Data Engineering
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We address the problem of agents collaboratively creating a common ontology through consensus methods using human user-created diverse ontologies as their starting point. We evaluate various voting algorithms used by the agents in IDOCS (Intelligent Distributed Ontology Consensus System) for the iterative agreement phase of the consensus process. Iterative agreement enables the agents to reach a consensus on a common ontology. We demonstrated this approach with proof of concept experiments in the genetics research phenotyping domain.