Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-11-127-39
DOI: https://dx.doi.org/10.15863/TAS.2023.11.127.39
Language: Russian
Citation: Lapin, I. A., & Sabinin, O. Yu. (2023). Research and planning the development of an automated system for building relational database models based on provided task text in natural language. ISJ Theoretical & Applied Science, 11 (127), 311-320. Soi: http://s-o-i.org/1.1/TAS-11-127-39 Doi: https://dx.doi.org/10.15863/TAS.2023.11.127.39 |
Pages: 311-320
Published: 30.11.2023
Abstract: In this paper authors research the possibility of developing an automated system for building relational database models based on provided task text in natural language. Authors describe the root cause of the problem they’re solving, proof the actuality of such development, and explain the most essential problems. Also, different approaches in natural language processing and classification are researched as well. Authors propose an initial algorithm and architecture for developing such system.
Key words: Natural language processing, relational databases, model building, text analysis, SQL, text classification.
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