Clustering and Multistage Semantic Analysis of Scientific Texts

49

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:

For citation: Isakov S.S. Clustering and Multistage Semantic Analysis of Scientific Texts. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2022. Vol. 12, no. 4, pp. 105–109. DOI: 10.17759/mda.2022120408. (In Russ., аbstr. in Engl.)

References

1.           Andreev A.V., Mitrofanova O.A., Sokolov K.V. Introduction to formal semantics. St. Petersburg: St. Petersburg State University. RIO. Philol. faculty, 2014. 88 p.

Information About the Authors

Sergey S. Isakov, Lecturer, Postgraduate Student of the Computer Science Faculty, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0000-0003-1719-2355, e-mail: isakovss@mgppu.ru

Metrics

Views

Total: 164
Previous month: 7
Current month: 0

Downloads

Total: 49
Previous month: 0
Current month: 0