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

摘要

In this article we present an unified ontological description logic model of data-mining computational multi-agent 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.