Künstliche Intelligenz und die Transformation der retrospektiven Katalogisierung
dialoge zwischen Technologie und menschlicher Expertise
DOI:
https://doi.org/10.60144/v7i.2026.233Schlagwörter:
Künstliche Intelligenz, Retrospektive Katalogisierung, Informationswissenschaft, Bibliotheksautomatisierung, Daten-GovernanceAbstract
Ziel: Analyse der Integration von Künstlicher Intelligenz (KI) und Low-Code-Tools in der Katalogisierung, insbesondere der retrospektiven Katalogisierung und der Handschrifterkennung. Methode: Die Methodik basiert auf einer fokussierten Literaturrecherche, die sich auf die Beiträge der Belgischen Nationalbibliothek und verwandte Studien konzentriert. Ergebnisse: Die Ergebnisse zeigen, dass die Automatisierung mittels Power Platform Arbeitsabläufe optimiert, Fehler reduziert und die Zugänglichkeit historischer Sammlungen erweitert. Schlussfolgerungen: KI wandelt die Rolle von Bibliothekaren hin zu strategischen Managern und Validatoren von Metadaten. Dies erfordert ethische Governance und Datenkompetenz, um algorithmische Verzerrungen zu minimieren.
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