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.

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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
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article

Цифрові інструменти академічної бібліотеки: автоматизація моніторингу публікаційної діяльності

O. A. SHEVCHUK, A. A. SALTYKOVA
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Library Science and Information
article

Цифрові інструменти академічної бібліотеки: автоматизація моніторингу публікаційної діяльності

O. A. SHEVCHUK, A. A. SALTYKOVA
article en

Abstract

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.

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Taras Shevchenko National University of Kyiv (UA), Borys Grinchenko Kyiv Metropolitan University (UA)
Openalex Percentile: Top 21%
Library Science and Information
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Цифрові інструменти академічної бібліотеки: автоматизація моніторингу публікаційної діяльності — O. A. SHEVCHUK, A. A. SALTYKOVA · The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy (2025) | TGRS Research Map | TGRS