Open AccessFunctionality of a common digital space of scientific knowledge
Author(s) -
Olga Muratovna Ataeva,
Н. Е. Каленов,
V. A. Serebryakov,
А. Н. Сотников
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.51218/978-5-4499-1905-2-2021-88-107
Subject(s) - computer science , information space , space (punctuation) , filter (signal processing) , linear subspace , set (abstract data type) , sociology of scientific knowledge , data science , subject (documents) , aggregate (composite) , thematic map , information retrieval , knowledge management , world wide web , mathematics , philosophy , materials science , geometry , cartography , epistemology , composite material , computer vision , programming language , geography , operating system
The volume of scientific information appearing in the world
today creates serious problems with its processing and use. In this regard, it becomes necessary to filter scientific information and extract from it knowledge that is novel and unique. The aggregate of such information in digital form, together with the tools to ensure its updating, preservation and provision to users, is defined as a common digital space of scientific knowledge. It consists of a set of thematic subspaces related to various areas
of science, built on the same principles. Despite the fact that there are some examples of formalization of knowledge in different subject areas, there is no generalized approach to defining the digital space of scientific knowledge. This paper discusses the problems and tasks of the formation of a such space and the development of tools that provide the ability to study
information in it.