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

De Luce, Valerio Development of a semi-automated framework for analytical metadata for comics. JLIS.it, 2026, vol. 17, n. 3, pp. 91-108. [Journal article (Paginated)]

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English 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.

Italian abstract

Lo studio affronta l’inadeguatezza degli standard catalografici tradizionali applicati al fumetto, questo medium storicamente marginalizzato, proponendo una soluzione pratica coerente con il dibattito in corso. Il framework qui sviluppato, fondato sui principi delle Augmented Humanities, integra GPT-4o per l’estrazione automatica di metadati da un campione di 100 fumetti digitali. I risultati mostrano un’elevata accuratezza nell’estrazione, compilando numerosi campi di una scheda bibliografica analitica proposta e validata per l’esperimento. L’obiettivo principale è dimostrare il potenziale dell’IA nel migliorare l’efficienza delle pratiche catalografiche. Tuttavia, lo studio evidenzia problemi persistenti come le allucinazioni, le difficoltà nella gestione di dati storici incompleti sul materiale e la necessità di supervisione umana per campi ambigui. Infine, il lavoro delinea una roadmap per l’integrazione dell’IA nei processi descrittivi, promuovendo il riconoscimento bibliografico dei fumetti come risorsa culturale.

Item type: Journal article (Paginated)
Keywords: Generative artificial intelligence; Bibliographic description of comics; Automated metadata generation; Library and information science; Intelligenza artificiale generativa; Descrizione bibliografica del fumetto; Generazione automatica di metadati; Biblioteconomia e scienze dell’informazione
Date deposited: 16 Sep 2026 10:16
Last modified: 20 Sep 2026 22:24
URI: http://hdl.handle.net/10760/49021

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