Registration Number
0226U000980,
(0125U000597)
, R & D reports
Title
"Great Ukrainian Encyclopedia" (VUE): Modes of the General System Architecture in Wartime
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«Велика українська енциклопедія»: модуси загальної системної архітектури в умовах воєнного часу
Head
Kyrydon Alla M., Доктор історичних наук
Registration Date
19-01-2026
Organization
State Research Institution "Encyclopedia Press"
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To analyze the nature of the “Great Ukrainian Encyclopedia” (VUE) content and its online version (e-VUE) functioning to find the most optimal functionality, structure, and content for the VUE in wartime
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The purpose — is to analyse the nature of the content of the VUE and functioning of e-VUE in wartime conditions; to define the set of theoretical, methodological, technological and technical solutions for the effective creation of the both versions of the "Great Ukrainian Encyclopaedia".
For the first time: the VUE/e-VUE is conceptualized as a multilevel knowledge infrastructure with academic, educational, cultural and security functions; it is shown that the wartime conditions need a holistic architecture of a Ukrainian-centric knowledge resource. The "modus" model of the VUE system architecture is analytically developed (theoretical, methodological, semantic, contextual, technological, technical, temporal modes). The temporal mode became a system-forming factor of architectural transformations of e-VUE in reality of long war and cognitive threats, which requires special adaptation of the encyclopaedic resource. A gap is identified between scientific models of periodization of the Russian-Ukrainian war and their encyclopaedic representation in the information space.
Have been improved: approaches to the analysis of the architectonics of VUE as a multilevel system (from dictionary policy to multimedia and semantic navigation) along with the identification of achievements and problem zones. Principles of categorical organization and navigation design of e-VUE, ways to optimize its content and hypertext structure. Further development: an idea of the strategic transition of e-VUE from a hypertext model to an integrated semantic knowledge hub (ontological models, multidimensional navigation, interactive maps, etc.). Methodological principles of controlled application of generative AI for e-VUE (support of semantic markup, identification of gaps in the net-connections, auxiliary analytical materials) while unconditionally preserving the leading role of editorial control. The key risks of LLM are systematized as a basis for regulating its use.
Product Description
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Koliesnik Liudmyla Ya.
Haiko Hennadii I.
Chorna Mariana V.
Aristova A. V.
Kyrydon Alla M.
Vechersʹkyy Victor V.
Biletsky Volodymyr S
Ivanenko Anatolii O.
Hirik Serhii I.
Verbych Nataliia S.
Kobrina Larysa V.
Maksym N. Yenin
Molotkin Alexander Yu.
Timochko Mykola D.
Toropchynova Kateryna L.
Kolisnyk Serhii V.
Havrylyshyna Nataliia A.
Panchuk Daria M.
Bereziuk Tetiana Ivanivna
Zavialova Liudmyla V.
Hlukhova Svitlana Valentynivna
Hutman Mykhailo Borysovych
Podolets Kateryna
Somka Olena
Khmelnytska Anna
Rohushyna Yuliia V.
Nina M. Petrukha
Serhii A. Kupriienko
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2026-01-19
