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Artificial Intelligence and Decision Making, 2013, Issue 3, Pages 10–18 (Mi iipr402)  
Knowledge engineering

Distributed data collection systems: principles of development based on the ontologies

A. E. Gus'kov, S. A. Shabelnikov, A. V. Vasil'kov

Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk
Full-text PDF (607 kB)
Abstract: In this paper the principles of distributed data collection systems development, which are based on formalized subject area description, are considered. Review of the ontology creating methods is done. Original method of the ontology creating is proposed. It can be used for building object, relational and hierarchical programmatic models and can be the base of the technology that separates the functionality of data collection system and subject area description.
Keywords: ontology, data collection systems, owl, xml.
English version:
Scientific and Technical Information Processing, 2015, Volume 42, Issue 5, Pages 313–320
DOI: https://doi.org/10.3103/S0147688215050123
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. E. Gus'kov, S. A. Shabelnikov, A. V. Vasil'kov, “Distributed data collection systems: principles of development based on the ontologies”, Artificial Intelligence and Decision Making, 2013, no. 3, 10–18; Scientific and Technical Information Processing, 42:5 (2015), 313–320
Citation in format AMSBIB
\Bibitem{GusShaVas13}
\by A.~E.~Gus'kov, S.~A.~Shabelnikov, A.~V.~Vasil'kov
\paper Distributed data collection systems: principles of development based on the ontologies
\jour Artificial Intelligence and Decision Making
\yr 2013
\issue 3
\pages 10--18
\mathnet{http://mi.mathnet.ru/iipr402}
\elib{https://elibrary.ru/item.asp?id=20277134}
\transl
\jour Scientific and Technical Information Processing
\yr 2015
\vol 42
\issue 5
\pages 313--320
\crossref{https://doi.org/10.3103/S0147688215050123}
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