Цифрові інструменти академічної бібліотеки: автоматизація моніторингу публікаційної діяльності
Objective. This publication studies the potential for using artificial intelligence and open APIs (Application Programming Interface) to automate publication activity monitoring. Methods. This study analyzes and experimentally tests the capabilities of open APIs and artificial intelligence in automating bibliographic data monitoring and processing. Results. The authors tested the potential of artificial intelligence to create an automated application that processes large volumes of bibliographic data, generates accurate bibliographic descriptions, and exports them in a tabular format. Conclusions. The developed prototype demonstrates that, when combined with open APIs, artificial intelligence can effectively automate the creation of bibliographic descriptions and the processing of publication data in academic libraries.
Authors
- O. A. SHEVCHUK
- A. A. SALTYKOVA
Institutions
- Taras Shevchenko National University of Kyiv (UA)
- Borys Grinchenko Kyiv Metropolitan University (UA)
Publication Details
- Journal
- The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
- Published
- 2025-12-31
- Primary Topic
- Library Science and Information
- Type
- article
- Field-Weighted Citation Impact
- 0.00