0384820 - ÚI 2013 RIV HK eng J - Journal Article
Kazík, O. - Neruda, Roman
Ontological Modeling of Meta Learning Multi-Agent Systems in OWL-DL.
IAENG International Journal of Computer Science. Roč. 39, č. 4 (2012), s. 357-362. ISSN 1819-9224
R&D Projects: GA MŠMT(CZ) ME10023
Grant - others:GA UK(CZ) 629612; UK(CZ) SVV-265314
Institutional support: RVO:67985807
Keywords : data mining * meta learning * roles * description logic * ontology
Subject RIV: IN - Informatics, Computer Science
Result website:
http://www.iaeng.org/IJCS/issues_v39/issue_4/IJCS_39_4_04.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0214331