The potential of artificial intelligence in document cataloging

This article discusses the use of artificial intelligence (AI) as a promising technology for automating document cataloging processes in libraries. It analyzes the history of AI development, its interdisciplinary nature, and its impact on various spheres of human activity. The key opportunities for applying AI at each stage of cataloging are examined, including data collection, bibliographic record creation, annotation drafting, subject determination, and indexing. It is emphasized that the integration of AI into library processes opens new horizons for enhancing the efficiency of libraries, however, it also requires the need for a balanced approach to the introduction of technologies to maintain their social significance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-14
DOI
https://doi.org/10.5281/zenodo.14162067
Primary Topic
Library Science and Information
Type
article
Field-Weighted Citation Impact
0.00
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article

The potential of artificial intelligence in document cataloging

Zenodo (CERN European Organization for Nuclear Research)
Library Science and Information
article

The potential of artificial intelligence in document cataloging

article en

Abstract

This article discusses the use of artificial intelligence (AI) as a promising technology for automating document cataloging processes in libraries. It analyzes the history of AI development, its interdisciplinary nature, and its impact on various spheres of human activity. The key opportunities for applying AI at each stage of cataloging are examined, including data collection, bibliographic record creation, annotation drafting, subject determination, and indexing. It is emphasized that the integration of AI into library processes opens new horizons for enhancing the efficiency of libraries, however, it also requires the need for a balanced approach to the introduction of technologies to maintain their social significance.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 46%
Library Science and Information
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The potential of artificial intelligence in document cataloging · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS