Building a knowledge ecosystem based on it-infrastructure of system research in energy

Author:

Massel Liudmila V.1,Massel Aleksei G.1

Affiliation:

1. Energy Systems Institute named after L.A. Melentyev SB RAS

Abstract

Purpose of research: building a Knowledge Ecosystem in the field of energy. Object of research: energy facilities and systems and the fuel and energy complex as a whole. Subject of research: methods and technologies for building knowledge ecosystems. Methods of research: mathematical and semantic (including ontological) modeling, methods for constructing knowledge bases and tools (services) for working with them. Main results of research: the possibility of using the IT- infrastructure of systemic research in the energy field as a scientific prototype of the Knowledge Ecosystem in the energy sector is shown. The basic concepts of knowledge ecosystems are discussed using a review of foreign sources. The possibility of using the IT-infrastructure of system research in the energy sector as a scientific prototype of the knowledge ecosystem in the energy sector is shown. The development of a Knowledge Ecosystem in the energy sector is proposed based on the IT infrastructure of systems research in the energy sector and its architecture is presented, including models, tools and digital twins.

Publisher

Yugra State University

Reference24 articles.

1. Kelly, E. Business Ecosystems Come of Age; Business Trends; Industry Report; Deloitte Uni-versity Press: London, UK, 2015. – Рp. 1–17.

2. Velu, C. Knowledge Management Capabilities of Lead Firms in Innovation Ecosystems. AMS Rev. 2015, 5. – Рр.123–141.

3. Zhang, J. Z.; Watson, G.F., IV. Marketing Ecosystem: An Outside-in View for Sustainable Advantage. Ind. Mark. Manag. 2020, 88. – Рр. 287-304.

4. Массель, Л. В. Экосистема знаний как развитие и специализация цифровой экосистемы / Л. В. Массель. – Текст : непосредственный // Труды Международного научно-технического конгресса «Интеллектуальные системы и информационные технологии – 2023». Научн. издание в 2-х томах, 2023. – Т. 2. –Таганрог : Издатель Ступин С. А. – С. 155–164.

5. Paul Shrivastava. Knowledge Ecology: Knowledge Ecosystems for Business Education and Training (1998). Архивная копия от 25 августа 2017 на Wayback Machine.

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