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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2021, Issue 3, Pages 3–18
DOI: https://doi.org/10.14357/20718594210301 (Mi iipr105) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Knowledge representation

Development of an ontology based on graphs with multiple edges of different types

A. P. Eremeeva, E. R. Muntyanb

a National Research University "Moscow Power Engineering Institute", Moscow, Russia
b Southern Federal University, Taganrog, Russia
Full-text PDF (548 kB) Citations (1)
DOI: https://doi.org/10.14357/20718594210301
Abstract: The paper proposes an approach to the development of an ontology of a complex multiconnected dynamic subject/problem area based on graphs with multiple and heterogeneous connections. The necessary definitions and formal dependencies are given. The effectiveness of this approach is shown on the example of a complex technical system for the protection of an extended perimeter, including objects with multiple and different types of connections. The possibilities of implementing the proposed approach using modern graph database management systems that support the concept of non-relational organization (model) of NoSQL data (for example, Neo4j, TigerGraph) are considered.
Keywords: artificial intelligence, intelligent system, complex system, ontology development, graph, multiple edges, different types of edges, databases and knowledge bases, graph DBMS, NoSQL.
Funding agency Grant number
Russian Foundation for Basic Research 20-07-00498 А
18-29-03088 МК
English version:
Scientific and Technical Information Processing, 2022, Volume 49, Issue 6, Pages 427–438
DOI: https://doi.org/10.3103/S0147688222060041
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. P. Eremeev, E. R. Muntyan, “Development of an ontology based on graphs with multiple edges of different types”, Artificial Intelligence and Decision Making, 2021, no. 3, 3–18; Scientific and Technical Information Processing, 49:6 (2022), 427–438
Citation in format AMSBIB
\Bibitem{EreMun21}
\by A.~P.~Eremeev, E.~R.~Muntyan
\paper Development of an ontology based on graphs with multiple edges of different types
\jour Artificial Intelligence and Decision Making
\yr 2021
\issue 3
\pages 3--18
\mathnet{http://mi.mathnet.ru/iipr105}
\crossref{https://doi.org/10.14357/20718594210301}
\elib{https://elibrary.ru/item.asp?id=46701358}
\transl
\jour Scientific and Technical Information Processing
\yr 2022
\vol 49
\issue 6
\pages 427--438
\crossref{https://doi.org/10.3103/S0147688222060041}
Linking options:
  • https://www.mathnet.ru/eng/iipr105
  • https://www.mathnet.ru/eng/iipr/y2021/i3/p3
    • This publication is cited in the following 1 articles:
    1. P. A. Astanin, S. E. Rauzina, T. V. Zarubina, “Postroenie etiopatogeneticheskogo obraza kontseptov metatezaurusa UMLS s ispolzovaniem grafovykh metrik”, Programmnye sistemy: teoriya i prilozheniya, 14:3 (2023), 59–94  mathnet  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:115
    Full-text PDF :70
    References:1
     
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