Open AccessSemantic library as a tool of defining a scientific subject area
Author(s) -
Olga Muratovna Ataeva,
V. A. Serebryakov
Publication year - 2022
Publication title -
èlektronnye biblioteki
Language(s) - English
Resource type - Journals
ISSN - 1562-5419
DOI - 10.26907/1562-5419-2021-24-6-988-1005
Subject(s) - subject (documents) , computer science , metadata , set (abstract data type) , information retrieval , knowledge base , data science , subject access , world wide web , programming language
The paper considers an information system designed to represent a subject area related to science and its features. Highlighted general concepts for formal descriptions of such a subject area in the knowledge base of the semantic library. The peculiarity of these areas is that the data structure is subject to frequent changes. Therefore, the means of organizing knowledge, which is a semantic library, should be sufficiently universal and not require deep technical knowledge. The paper describes the functionality of the system and its use. For each area, the set of resources can differ both in format and in the set of the resources themselves. The set of concepts that form the description of the library's content should be so universal that it can be adapted to the needs of a particular area. Three levels of metadata are used to represent the data.