Ontological Modeling of Meta Learning Multi-Agent Systems in OWL-DL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00384820" target="_blank" >RIV/67985807:_____/12:00384820 - isvavai.cz</a>
Result on the web
<a href="http://www.iaeng.org/IJCS/issues_v39/issue_4/IJCS_39_4_04.pdf" target="_blank" >http://www.iaeng.org/IJCS/issues_v39/issue_4/IJCS_39_4_04.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Ontological Modeling of Meta Learning Multi-Agent Systems in OWL-DL
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ME10023" target="_blank" >ME10023: Aproximation and learning of multivariable functions by neural networks</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IAENG International Journal of Computer Science
ISSN
1819-9224
e-ISSN
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Volume of the periodical
39
Issue of the periodical within the volume
4
Country of publishing house
HK - HONG KONG
Number of pages
6
Pages from-to
357-362
UT code for WoS article
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EID of the result in the Scopus database
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