Vol. 17 No. 3 (2026)
Articles

Development of a semi-automated framework for analytical metadata for comics

Italian PDF
  • Valerio De Luce
Valerio De Luce
University of Macerata
DOI: https://doi.org/10.36253/jlis.it-726

Published 2026-09-15

Keywords

  • Generative artificial intelligence,
  • Bibliographic description of comics,
  • Automated metadata generation,
  • Library and information science.

How to Cite

De Luce, Valerio. 2026. “Development of a Semi-Automated Framework for Analytical Metadata for Comics”. JLIS.It 17 (3):91-108. https://doi.org/10.36253/jlis.it-726.

Copyright (c) 2026 Valerio De Luce

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

The study addresses the inadequacy of traditional cataloguing standards applied to comics, this historically marginalised medium, proposing a practical solution consistent with the ongoing debate. The framework developed here, based on the principles of Augmented Humanities, integrates GPT-4o for the automatic extraction of metadata from a sample of 100 digital comics. The results show high accuracy in extraction, filling in numerous fields of an analytical bibliographic record proposed and validated for the experiment. The main objective is to demonstrate the potential of AI in improving the efficiency of cataloguing practices. However, the study highlights persistent problems such as hallucinations, difficulties in handling incomplete historical data on the material, and the need for human supervision for ambiguous fields. Finally, the work outlines a roadmap for integrating AI into descriptive processes, promoting the bibliographic recognition of comics as a cultural resource.

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