Methods and Technologies of Search, Explication and Analysis of Contextual Knowledge for Scientific Heritage Studies: A Case Study of Georgy F. Gause

Abstract

The objective of this research is to study methods of search, explication and analysis of text data of scientific publications with information and communication technologies for use in scientific research. The research is based on Russian-language scientific publications reflecting the scientific heritage of G. F. Gause. The proposed study is based on the results of case studies conducted to assess the possibilities of using digital information resources in scientific research, extracting metadata from digital electronic resources using methods of their subsequent quantitative processing. The study examined the methods of explication and analysis of text data extracted from digital scientific resources (for example, Elibrary). For the analysis, the information system Sketch Engine was used, which provides natural language text processing (NLP) tools. Based on the analysis of the obtained results, conclusions are drawn about the possibility of using the studied methods not only in scientific research, but also in a wide range of scientific research on various topics.