Creation of a System for Processing Scientific and Technical Documentation Based on a Modular Architecture

The results of designing a software platform for intelligent text processing to support decision-making on the management of scientific research are presented. The software platform is designed for storing and processing various types of scientific and technical documentation, as well as automating...

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Published in2024 8th International Conference on Information, Control, and Communication Technologies (ICCT) pp. 1 - 4
Main Authors Davidov, Egor, Malgina, Svetlana, Farkhadov, Mais, Blinova, Olga
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2024
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DOI10.1109/ICCT62929.2024.10874995

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Abstract The results of designing a software platform for intelligent text processing to support decision-making on the management of scientific research are presented. The software platform is designed for storing and processing various types of scientific and technical documentation, as well as automating the tasks of searching, comparing and analyzing documents and information. The documents being processed (scientific articles, reports and technical assignments for research) have a certain internal structure and specific features, and the list of tasks assigned to the system cannot be fully fulfilled by existing software tools. The architecture of the system is based on the modular principle for flexibility and extensibility of the project. The developed modules and components are combined into a working layout (minimal viable product), the existing and planned functionality is adjusted based on the test results. Comprehensive intellectual analysis of documentation includes both the processing of formal features of documents (deadlines, format compliance, the presence of key terms) and semantic analysis of text (annotation, comparison with assigned tasks, compliance with the subject) and to implement this, a multi-stage processing cycle is required, combining various methods of processing text data.
AbstractList The results of designing a software platform for intelligent text processing to support decision-making on the management of scientific research are presented. The software platform is designed for storing and processing various types of scientific and technical documentation, as well as automating the tasks of searching, comparing and analyzing documents and information. The documents being processed (scientific articles, reports and technical assignments for research) have a certain internal structure and specific features, and the list of tasks assigned to the system cannot be fully fulfilled by existing software tools. The architecture of the system is based on the modular principle for flexibility and extensibility of the project. The developed modules and components are combined into a working layout (minimal viable product), the existing and planned functionality is adjusted based on the test results. Comprehensive intellectual analysis of documentation includes both the processing of formal features of documents (deadlines, format compliance, the presence of key terms) and semantic analysis of text (annotation, comparison with assigned tasks, compliance with the subject) and to implement this, a multi-stage processing cycle is required, combining various methods of processing text data.
Author Blinova, Olga
Davidov, Egor
Malgina, Svetlana
Farkhadov, Mais
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  givenname: Olga
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  email: blinova_olga_v@mail.ru
  organization: Lab.17 Ergatic Systems V. A. Trapeznikov Institute of Control Sciences of the RAS,Moscow,Russia
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Snippet The results of designing a software platform for intelligent text processing to support decision-making on the management of scientific research are presented....
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SubjectTerms architecture of the intelligent system
Computer architecture
Data mining
Documentation
Libraries
local text processing
Process control
processing of scientific documentation
Prototypes
Semantics
Software tools
Source coding
Text processing
text search formatting
Title Creation of a System for Processing Scientific and Technical Documentation Based on a Modular Architecture
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