Classification and dynamic management models for digital collections from smart digital libraries to Artificial Intelligence. Challenges and perspectives
DOI:
https://doi.org/10.54103/2531-5994/31789Keywords:
Dynamic management, Digital heritage, Smart digital libraries, Knowledge graphs, Automatic classificationAbstract
The growth of digitised and born-digital collections, the acceleration of digital transformation and the recent spread of Artificial Intelligence require a reconsideration of collection management models and practices. Digital libraries can no longer be treated as repositories of surrogates, images, files or static and closed records: they are environments in which resources are produced, described, published, linked, verified, versioned, corrected and reused. This paper proposes a theoretical and methodological dynamic model to manage digital collection, which integrates the concepts of digitisation, digital heritage, dynamic metadata, provenance, lifecycle, FAIR Principles, knowledge graph and AI-assisted cataloguing. The automatic classification of digital collections is interpreted not as the punctual and definitive attribution of a class, but as a documented, verifiable and versioning process in which AI contributes to producing hypotheses, recognitions and connections that must be traced back to responsibilities rooted in library, archival and digital-humanities principles and reflections.
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Copyright (c) 2026 Nicola Barbuti (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Accepted 2026-07-16
Published 2026-08-06
