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Trudy SPIIRAN, 2016, Issue 47, Pages 105–129
DOI: https://doi.org/10.15622/sp.47.6 (Mi trspy894) 		 
Methods of Information Processing and Management

Ontological Knowledge System Completion Based on Modeling Inferences Taking into Account Role Semantics

D. N. Biryukov, A. G. Lomako, R. B. Zholus

Mozhaisky Military Space Academy
Full-text PDF (1150 kB)
DOI: https://doi.org/10.15622/sp.47.6
Abstract: The article considers the issue of automatic completion of ontology with roles and concepts formed by an intelligent system in the provision of new facts. Implementation of specified calculations allows increasing ontology information content during data stream preprocessing.
Keywords: Intelligent System; Knowledge System; Ontology; Plausible Inferences.
Bibliographic databases:
Document Type: Article
UDC: 004.8:007.3
Language: Russian
Citation: D. N. Biryukov, A. G. Lomako, R. B. Zholus, “Ontological Knowledge System Completion Based on Modeling Inferences Taking into Account Role Semantics”, Tr. SPIIRAN, 47 (2016), 105–129
Citation in format AMSBIB
\Bibitem{BirLomZho16}
\by D.~N.~Biryukov, A.~G.~Lomako, R.~B.~Zholus
\paper Ontological Knowledge System Completion Based on Modeling Inferences Taking into Account Role Semantics
\jour Tr. SPIIRAN
\yr 2016
\vol 47
\pages 105--129
\mathnet{http://mi.mathnet.ru/trspy894}
\crossref{https://doi.org/10.15622/sp.47.6}
\elib{https://elibrary.ru/item.asp?id=26498867}
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  • https://www.mathnet.ru/eng/trspy/v47/p105
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