AI-powered cataloging

Susan Rathbun-Grubb

doi:10.1080/07317131.2026.2719136

August 13, 2026Technical Services Quarterly

AI-powered cataloging

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Key Points

Examine operational frameworks and software methodologies for integrating artificial intelligence into library cataloging and bibliographic metadata management.
Reviewed case study applications of artificial intelligence tools in national bibliographic agency settings.
Evaluated practical software handbooks and workflow guidelines for automated metadata creation.
Identified practical implementation strategies for deploying machine learning pipelines in library cataloging environments.
Established core operational procedures for combining automated metadata extraction with professional bibliographic oversight.

Implication

Book review demonstrates artificial intelligence workflows in bibliographic agencies, highlighting practical strategies for automated cataloging and metadata management.

Abstract

AI-Powered Cataloging is a highly readable book that combines the features of a case study with those of a software handbook. Author Hannes Lowagie, Head of the Bibliographic Information Agency at ...

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Cite This Study

Susan Rathbun-Grubb (2026) studied this question.

synapsesocial.com/papers/6a81794cf2fb91fc834ac79e https://doi.org/10.1080/07317131.2026.2719136

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AI-powered cataloging

Key Points

Implication

Abstract

Discussion

Cite This Study

AI-powered cataloging

Key Points

Implication

Abstract

Discussion

Cite This Study

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