Possibilities of Artificial Intelligence in Compiling a Subject-Thematic Index

Abstract

Different auxiliary indexes to a bibliographic resource perform different specific functions. Тhe subject-thematic index most successfully reproduces the structure of the history and current state of the branch of knowledge. E.g. the reference book “Materials published in the journal “Soil Science” for 100 years” is a guide to a huge and valuable array of information. The relevance of the subject matter of this publication explains the decision to compile a continuation of the bibliographic reference book. The article emphasizes that the updated scheme of the subject-thematic index of the new reference book for 1999–2023 should show changes in the structure of soil science. The methodology of compilation is well known, but the specifics of the development of library and information technologies require changes.
The purpose of this article is to justify an attempt to compile subject headings using artificial intelligence technologies. Integrating artificial intelligence into the cataloguing process opens up new possibilities for subject indexing. They will allow for more complex text analysis for the correct naming of the subject heading.
The conclusion emphasizes the uniqueness of the subject index of the Handbook “Materials Published in the Journal ‘Pochvovedenie’ during 100 Years” in providing users with bibliographic information, explaining our commitment to leveraging machine capabilities in compiling this bibliographic resource. It also expresses the hope that this applied research will enable bibliographers and IT specialists to develop an optimal scientific reference system for this bibliographic resource.