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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10127161" target="_blank" >RIV/00216208:11320/12:10127161 - 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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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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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IAENG International Journal of Computer Science

ISSN

1819-656X

e-ISSN

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Volume of the periodical

2012

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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