AI in the libraries around the globe: The analytical review

The analytical review of AI in the libraries of the world is focused on the practice of large national and academic libraries in several European and Asian countries, in particular on 135 projects. The authors report that AI is used in foreign libraries for symbol recognition, difficult languages, historical documents, and visual materials. The AI is indispensable in complex and fast metadata processing, analysis and classification. In the library integrated systems, AI not only processes user queries, it upgrades information retrieval and tunes personal recommendations. The authors offer their recommendations on integrating AI into the library systems and on how to develop and use efficiently AI functionality in the library search systems. The paper is prepared under the Government Order for RNPLS&T for 2025 No. 075-00548-25-00, Project No. 720000F.99.1.BN60AA03000, theme No. 1024031200035-5-1.2.1;5.8.2 (FNEG-2025-0004).

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.33186/978-5-85638-297-5-78-83
Primary Topic
AI in Service Interactions
Type
article
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article

AI in the libraries around the globe: The analytical review

Andrey Zеmskov, A.Y. Telitsyna
AI in Service Interactions
article

AI in the libraries around the globe: The analytical review

Andrey Zеmskov, A.Y. Telitsyna
article en

Abstract

The analytical review of AI in the libraries of the world is focused on the practice of large national and academic libraries in several European and Asian countries, in particular on 135 projects. The authors report that AI is used in foreign libraries for symbol recognition, difficult languages, historical documents, and visual materials. The AI is indispensable in complex and fast metadata processing, analysis and classification. In the library integrated systems, AI not only processes user queries, it upgrades information retrieval and tunes personal recommendations. The authors offer their recommendations on integrating AI into the library systems and on how to develop and use efficiently AI functionality in the library search systems. The paper is prepared under the Government Order for RNPLS&T for 2025 No. 075-00548-25-00, Project No. 720000F.99.1.BN60AA03000, theme No. 1024031200035-5-1.2.1;5.8.2 (FNEG-2025-0004).

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