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

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SYSNO ASEP	0384820
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	Ontological Modeling of Meta Learning Multi-Agent Systems in OWL-DL
Author(s)	Kazík, O. (CZ) Neruda, Roman (UIVT-O)_{SAI, RID, ORCID}
Source Title	IAENG International Journal of Computer Science - ISSN 1819-9224 Roč. 39, č. 4 (2012), s. 357-362
Number of pages	6 s.
Language	eng - English
Country	HK - Hong Kong
Keywords	data mining ; meta learning ; roles ; description logic ; ontology
Subject RIV	IN - Informatics, Computer Science
R&D Projects	ME10023 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Institutional support	UIVT-O - RVO:67985807
EID SCOPUS	84874612602
Annotation	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.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2013
Electronic address	http://www.iaeng.org/IJCS/issues_v39/issue_4/IJCS_39_4_04.pdf

Number of the records: 1