Open AccessUsing ontology in scientific and technological forecasting
Author(s) -
С.С. Голубев,
Alexander Viktorovich Kuritsyn,
Vera Vladimirovna Gorbunova,
Dmitrii Olegovich Margovenko,
Elena Evgenyevna Shurukova
Publication year - 2021
Publication title -
laplage em revista
Language(s) - English
Resource type - Journals
ISSN - 2446-6220
DOI - 10.24115/s2446-622020217extra-b947p.435-445
Subject(s) - ambiguity , ontology , technology forecasting , computer science , technological change , data science , quality (philosophy) , automation , management science , knowledge management , engineering , artificial intelligence , epistemology , mechanical engineering , philosophy , programming language
The case is made and proposals are drawn for the development of ontologies of scientific and technological forecasting to secure national interests based on the descriptions of expertise in the forecast domain and the methodology of concept maps. Concept maps of scientific and technological advances are visualised and applicability is described for ontological methods in scientific and technological forecasting, as well as the specifics of automation. The novel contribution of the research findings consists in the authors' systemic and comprehensive approach in describing the ontological principles of scientific and technological forecasting to secure national interests. This eliminates the ambiguity in approaches and conceptualisations of the processes of scientific and technological forecasting. The proposed ontological system of scientific and technological forecasting to secure national interests offers a systemic approach to forecast development and uniform interpretations of the concepts involved. All that would doubtlessly contribute to quality forecasting.