Ontological Modeling of Meta Learning Multi-Agent Systems in OWL-DL

Abstrakt

In this article we present an unified ontological description logic model of data-mining computational multiagent systems. The model consists of organizational role-based description, description of data-mining methods and database of experiment results.

Its main purpose is support for meta learning application - choice of suitable data-mining methods for unknown data based on previous experience.

Klíčová slova

• Data mining
• meta learning
• roles
• description logic
• ontology