Sanjaju li androidi električne bibliotekare/ke? Primjena AI tehnologija u nacionalnim bibliotekama Evrope

Goal: The goal of this research is to provide an overview of the application of artificial intelligence (AI) technologies in national libraries across Europe, with a focus on the use of machine learning for (semi)automated classification and indexing, digital humanities projects, and innovative methods for the preservation and presentation of cultural heritage. The study aims to encourage interest among the professional and academic librarian communities in the possibilities offered by these technologies. Design/methodology/approach: This research employs a descriptive method to present the application of AI technologies in national libraries. Comparative, analytical, and synthetic methods were used to inductively develop theoretical frameworks related to the subject of the research. Examples were analyzed from the practices of national libraries in Finland, Sweden, Norway, Germany, Spain, France, Netherlands, Scotland, Luxembourg and Great Britain. Results: Findings of the research indicate that national libraries are utilizing AI technologies for automated classification, indexing, language model development, and digital humanities projects. National libraries in Finland and Germany are leading in the implementation of machine learning for automatic classification and subject indexing, while projects like the British Library’s “Living with Machines” showcase innovative AI applications in researching cultural change. Discussion: The implementation of AI technologies in national libraries has numerous advantages; their AI labs provide a platform for the development and testing of new technologies, while language models they develop enable deeper and richer interaction with collections. Digital humanities projects demonstrate how AI can aid in the preservation and exploration of cultural heritage, but they require an interdisciplinary approach and collaboration among various experts. Originality/value: This research is among the first to examine the application of AI technologies in national libraries across Europe, offering a comprehensive overview of the current state and providing a foundation for future research in this field. The study demonstrates how AI technologies can transform the operations of national libraries and enhance the preservation and accessibility of cultural heritage.

Authors

Publication Details

Journal
Međunarodna konferencija Evropske smjernice za saradnju biblioteka arhiva i muzeja (Online)
Published
2025-01-01
DOI
https://doi.org/10.71271/issn.2303-520x.2024.11
Primary Topic
Data Privacy and Cybersecurity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sanjaju li androidi električne bibliotekare/ke? Primjena AI tehnologija u nacionalnim bibliotekama Evrope

Dalila Mirović
Međunarodna konferencija Evropske smjernice za saradnju biblioteka arhiva i muzeja (Online)
Data Privacy and Cybersecurity
article

Sanjaju li androidi električne bibliotekare/ke? Primjena AI tehnologija u nacionalnim bibliotekama Evrope

Dalila Mirović
article en

Abstract

Goal: The goal of this research is to provide an overview of the application of artificial intelligence (AI) technologies in national libraries across Europe, with a focus on the use of machine learning for (semi)automated classification and indexing, digital humanities projects, and innovative methods for the preservation and presentation of cultural heritage. The study aims to encourage interest among the professional and academic librarian communities in the possibilities offered by these technologies. Design/methodology/approach: This research employs a descriptive method to present the application of AI technologies in national libraries. Comparative, analytical, and synthetic methods were used to inductively develop theoretical frameworks related to the subject of the research. Examples were analyzed from the practices of national libraries in Finland, Sweden, Norway, Germany, Spain, France, Netherlands, Scotland, Luxembourg and Great Britain. Results: Findings of the research indicate that national libraries are utilizing AI technologies for automated classification, indexing, language model development, and digital humanities projects. National libraries in Finland and Germany are leading in the implementation of machine learning for automatic classification and subject indexing, while projects like the British Library’s “Living with Machines” showcase innovative AI applications in researching cultural change. Discussion: The implementation of AI technologies in national libraries has numerous advantages; their AI labs provide a platform for the development and testing of new technologies, while language models they develop enable deeper and richer interaction with collections. Digital humanities projects demonstrate how AI can aid in the preservation and exploration of cultural heritage, but they require an interdisciplinary approach and collaboration among various experts. Originality/value: This research is among the first to examine the application of AI technologies in national libraries across Europe, offering a comprehensive overview of the current state and providing a foundation for future research in this field. The study demonstrates how AI technologies can transform the operations of national libraries and enhance the preservation and accessibility of cultural heritage.

Međunarodna konferencija Evropske smjernice za saradnju biblioteka arhiva i muzeja (Online)Vol. 11(11)
Openalex Percentile: Top 91%
Data Privacy and Cybersecurity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.