76129

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Principles of construction and analysis of architectures for modern scientific information systems

Электронная публикация: 

Да

ISBN/ISSN: 

978-5-91450-272-7

Наименование конференции: 

  • 7-я Международная научная конференция «Информационные технологии и технические средства управления» (ICCT-2023, Астрахань)

Наименование источника: 

  • Материалы 7-й Международной научной конференции «Информационные технологии и технические средства управления» (ICCT-2023, Астрахань)

Город: 

  • Астрахань

Издательство: 

  • ИПУ РАН

Год издания: 

2023

Страницы: 

111-114
Аннотация
It is impossible to imagine modern scientific activity without the use of intelligent information systems. The purpose of intelligent information systems is to aggregate and provide access to electronic versions of documented scientific and technical information. In the field of scientific and technical information, it is very important to use an information system that allows you to reliably store and effectively use a variety of collections of electronic documents (text, visual, sound, video, etc.) localized in the system itself, as well as available to it through telecommunication networks. Modern scientific information systems include electronic libraries, scientific project management systems, smart search engines, scientific information social networks, etc. In this article, we reviewed the most popular and widely used electronic libraries today, as well as some other scientific information systems. A number of shortcomings in the organization of classical electronic libraries based on relational databases have been identified: the relational schema is rigid and its change leads to the need to change a large amount of program code; on the basis of relational schemas it is impossible to draw any logical conclusions; description of the content using the code of the system of universal decimal classification of information and a set of terms has very limited possibilities for assessing the semantic proximity between objects of the same type and, moreover, of different types; the use of relational schemas significantly limits the interaction between different electronic libraries. As an alternative model of electronic libraries organization, ontological models are considered, which are considered more perfect and expressive. They solve the problems of describing the semantics (meaning) of the content of electronic libraries and implementing work with them using such knowledge representation models as semantic networks, frames and ontologies. The analysis of the problems and prospects of intellectual information systems in science has been carried out.

Библиографическая ссылка: 

Блинова О.В., Панкратова Е.В., Фархадов М.П. Principles of construction and analysis of architectures for modern scientific information systems / Материалы 7-й Международной научной конференции «Информационные технологии и технические средства управления» (ICCT-2023, Астрахань). Астрахань: ИПУ РАН, 2023. С. 111-114.