Hryhorii Hnatiienko, PhD (Engin.)
Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine
Oleh Ilarionov, PhD (Engin.)
Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine
ORCID ID: :0000-0002-7435-3533
Nataliia Tmienova, PhD (Phys. & Math.), Assoc. Prof.
Faculty of Information Technology, Taras Shevchenko National University of Kyiv, Ukraine
Abstract
DOI: https://doi.org/10.17721/AIT.2023.1.11
Background. The paper considers the concept of scientific space and the peculiarities of its formation in Ukraine.
Methods. Methods of heuristic analysis of weakly-structured information are used.
Results. The structure of information about defended theses was studied. Heuristics, which, firstly, contribute to the structuring of the existing weakly structured information, secondly, supplement the information that is not enough to formalize the problem to known mathematical models, thirdly, declare the position of the authors a priori, mark the outline of the further presentation of the material and research limitations, which the authors limit themselves are introduced. Approaches to the analysis of theses defended in Ukraine during 1993-2020 are presented. Parameters of defended theses whose values are available in open-access databases and identifiers assigned to them are listed. An analysis of Ukrainian cities in which a large number of theses were completed and defended was carried out. Such cities are defined as scientific centers. A matrix of statistics of correlations between scientific organizations of Ukrainian cities was built. An illustration of the correlations between the cities of Ukraine is provided, and the diagram of these correlations is displayed on the map of Ukraine. In this way, the preliminary structuring of the scientific space in terms of preparation and defense of theses was carried out. Models were developed and directions for further research of the scientific space of Ukraine were determined. Based on text analysis, it is proposed to identify keywords in abstracts of theses and to determine research directions by analyzing the degree of similarity between sets of keywords related to theses.
Сonclusions. Implementation of the research results will foster versatile development of the scientific space in Ukraine and strengthen its scientific potential.
Keywords: scientific space, weakly structured system, heuristics, thesis, adjacency matrix, scientific centers, research topic, formalization.
Information about the author
Hryhorii Hnatiienko, PhD (Engin.), Deputy Dean for Research, Faculty of Information Technologies, Taras Shevchenko National University of Kyiv.
Research interests: processing of expert information, decision making, decision support systems, information technologies.
Oleh Ilarionov, PhD (Engin.), Assoc. Prof., Head of the Department of Intelligent Technologies, Faculty of Information Technologies, Taras Shevchenko National University of Kyiv.
Research interests: tools and technologies for the development of information systems for managing technological processes and objects
of various physical nature.
Nataliia Tmienova, PhD (Phys. & Math.), Assoc. Prof., Deputy Dean of Academic Studies, Faculty of Information Technologies, Taras Shevchenko National University of Kyiv.
Research interests: natural language processing, e-learning technologies, queuing systems research, random processes research.
References
Published
2023-12-15
How to Cite
H. Hnatiienkoо, O. Ilariono, N. Tmienova“ Modeling of the Ukrainian scientific space based on the analysis of data on the defense of dissertations
”, Advanced Information Technology vol.1(2), pp. 80–86, 2023.
Issue
Advanced Information Technology № 1 (2), 2023
Section
Information analytics and data analytics
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