Information technology for automation of sociological research: methods, technologies and advantages
DOI: 10.21293/1818-0442-2024-27-3-109-117
DOI: 10.21293/1818-0442-2024-27-3-109-117
Abstract: The article is devoted to the analysis and development of an information-analytical system (IAS) for sociological research. It reviews existing software solutions for data collection, processing, and analysis, outlining their advantages and limitations. The article proposes integrating various functions into a single system to provide a comprehensive approach to research, including proactive forecasting and analysis. The developed IAS offers extensive capabilities for automating key stages of sociological research, improving data quality, and enhancing analytical accuracy. The integration of ontologies into the IAS structure has standardized terms and concepts, established semantic relationships between them, which reduced the likelihood of errors and shortened the preparation time for retrospective analysis (by 20%), while improving the quality of analytical conclusions through more in-depth and comprehensive data processing.
Keywords: information technology, system architecture, sociological research, ontologies, forecasting, data processing system (DPS), decision support system (DSS)
For citation:
Kuznetsov A. M. Information technology for automation of sociological research: methods, technologies and advantages. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2024, vol. 27, no. 3, pp. 109–117. DOI: 10.21293/1818-0442-2024-27-3-109-117
Authors and copyright holders:
Executive Secretary of the Editor’s Office
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Viktor N. Maslennikov
Executive Secretary of the Editor’s Office
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