Support of Google Gemini in Cataloguing Audiovisual Archival Materials
DOI:
https://doi.org/10.33700/2670-451X.36.1.81-91(2026)Keywords:
Google Gemini, audivisual materials, cataloguing, artificial intelligence, archival scienceAbstract
Purpose: This article aims to present the use of the generative tool Google Gemini in cataloguing audiovisual archival materials.
Methodology: Iterative approach, including segmented submission of contributions, precise instructions, and continuous verification. The study covers daily news programs, music shows, and sessions of the National Assembly.
Results: Google Gemini enables accelerated and standardized cataloguing, improves record transparency, and supports content classification, while requiring ongoing professional supervision and corrections.
Conclusion: The combination of generative AI models and archival expertise allows efficient digitization and streamlining of audiovisual archival cataloguing.
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References
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