The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
IEEE Transactions on Knowledge and Data Engineering
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology-Driven KDD Process Composition
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Emerging hybrid computational models
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Role-based design of computational intelligence multi-agent system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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In this paper, we formalize the role-based model of computational multi-agent system (MAS) solving data mining tasks in description logic (DL). MAS represents a promising approach for complicated data mining tasks due to its configuration flexibility and parallel processing. This is exploited in encapsulation of computational modeling, pre-processing and post-processing methods reflecting industrial standard specifications. The ontology of computational agents' capabilities is proposed and included in the model. The ontology agent, which implements the DL model, supports matchmaking, system integrity checking and automated creation of the system.