Modelling and Data Analysis
2022. Vol. 12, no. 4, 105–109
doi:10.17759/mda.2022120408
ISSN: 2219-3758 / 2311-9454 (online)
Clustering and Multistage Semantic Analysis of Scientific Texts
Abstract
To date, many problems of the competency-based approach remain unresolved both in terms of methodology and methodology, and in terms of organizing activities and creating appropriate technologies. To form the research competencies of the university, relevant information about projects, scientific work and specialization of university staff must be collected and processed, which in modern conditions, with a wide variety of scientific areas and the number of individual works and projects, requires the creation of a specialized information system. The task of identifying the competencies of employees of a scientific organization can be solved by clustering the texts of their scientific works.
General Information
Keywords: information system, competence formation, research competence, keywords, scientific specialty, research project, employee specialization, web resource, relational database, formal semantics
Journal rubric: Short Messages
Article type: announcing
DOI: https://doi.org/10.17759/mda.2022120408
Received 19.11.2022
Accepted
Published
For citation: Isakov, S.S. (2022). Clustering and Multistage Semantic Analysis of Scientific Texts. Modelling and Data Analysis, 12(4), 105–109. (In Russ.). https://doi.org/10.17759/mda.2022120408
© Isakov S.S., 2022
License: CC BY-NC 4.0
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