Use of the "Library of Science Metrics" system for conducting science metric research

• Дата: 2023
• Автори: Ланде, Д. В., Крючин, А. А., Добровська, С. В., Балагура, І. В.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Інститут проблем реєстрації інформації НАН України 2023
• Теми: «Україніка наукова» (реферативний журнал «Джерело»); пошук інформації; аналітична обробка; "Ukrainika Naukova" (abstract journal "Dzherelo"); information search; analytical processing
• Онлайн доступ: http://drsp.ipri.kiev.ua/article/view/287010
• Назва журналу: Data Recording, Storage & Processing

Using the example of the analysis of publication activity in the current scientific and technical direction of information protection, the capabilities of the «Library of Science Metrics» system for searching for information in the abstract database «Ukrainika Naukova» (abstracte journal «Dzherelo») are presented. The basic technologies employed in the creation of the «Library of Science Metrics» system are defined. Special attention is paid to the analysis of methods of using the «Library of Science Metrics» system. National databases of abstract information make it possible to more accurately determine the directions of research in a specific country. The database «Ukrainika Naukova» has accumulated a huge amount of information (more than 800,000 abstracts) about the research of Ukrainian scientists over a long period of time (since 1998). In order to more effectively use the capabilities of the abstract database «Ukrainika Naukova» (referential magazine «Dzherelo»), it is necessary to organize information search with the provision of analytical opportunities for information processing with further expansion of information resources, as well as analytical services that allow detection you interrelationships of research authors and explore their dynamics. It is expedient to create a system of scientific information integration based on the reference journal «Source» and to expand it by connecting other scientific databases. Based on the analysis of modern means of creating intelligent scientometric services, the modern information and search system Manticore Search (https://manual.manticoresearch.com/) was chosen as the technological basis of the proposed approach. The selected system is characterized by high speed, effective search, both using traditional SQL queries for structured data and for unstructured data based on JSON queries.