Recommendation system based on a generalized journal index

This paper explores the thematic classification of scientific journals using the example of the "White List"—the Unified State Register of Scientific Journals. The study aims to automate the analysis of journal thematic orientations. For this purpose, the State Rubricator of Scientific and Technical Information (SRSTI), classifiers such as the Universal Decimal Classification (UDC) and the Mathematics Subject Classification (MSC), as well as the ontology of the SciLibRu semantic library of subject domains, are utilized. Based on data from journals included in the "White List" and from sources within the SciLibRu library, a generalized index has been developed and integrated into the SciLibRu knowledge graph. This enables users of the SciLibRu library to navigate various journal attributes, such as subject area and category, thus facilitating the selection of appropriate publication venues. An example is provided of how semantic analysis of an article can be used to assess its thematic relevance to journals from the "White List." The generalized index incorporated into SciLibRu also allows users to formulate natural language queries to identify suitable journals for publication. The proposed methodology can be extended to other domains, such as conferences proceedings. The practical significance of the study lies in the automation of journal topic selection for scientific manuscripts.