This paper presents DI4H (Digital Innovation for Heritage), an educational module delivered during a visiting professorship at the University of Turin. The module guided students through a workflow for adaptive reuse projects, combining drone photogrammetry, mobile 3D scanning, Polycam, Agisoft Metashape, Google AI Studio, and Omeka S. Three student case studies show how AIassisted web applications and FAIR-aligned semantic publishing can transform 3D documentation into interpretative digital layers that support public communication, accessibility, and heritage valorization. The paper discusses the workflow, tools, pedagogical design, and implications for integrating AI and semantic-web methods in adaptive reuse education.
University of the Aegean, Greece - ORCID: 0000-0003-0656-693X
University of Turin, Italy - ORCID: 0000-0002-3059-4204
University of Turin, Italy - ORCID: 0000-0001-9866-2843
María Victoria Correa Baeriswyl
University of Santiago de Chile, Chile - ORCID: 0000-0003-4661-1264
University of Turin, Italy - ORCID: 0000-0001-6894-2369
University of Turin, Italy - ORCID: 0009-0008-3632-3326
University of Athens, Greece - ORCID: 0009-0007-3244-6460
Titolo del capitolo
From fragment to infrastructure: ai-assisted 3d digital layers and semantic heritage publishing for adaptive reuse of historical buildings
Autori
Markos Konstantakis, Lavinia Chiara Tagliabue, Rossana Damiano, María Victoria Correa Baeriswyl, Silvia Meschini, Hira Ovais, Eleftheria Iakovaki
Lingua
Inglese
DOI
10.36253/979-12-215-1113-0.114
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
ReUso 2026 - New heritage and future strategies. Perspectives on conservation and promotion
Sottotitolo del libro
14th International Congress Barcelona-Girona, 4-7 November
Curatori
Alessandro Scarnato, Marisa García Vergara, Ángeles Layuno Rosas
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1113-0
eISBN (pdf)
979-12-215-1113-0
eISBN (xml)
979-12-215-1112-3
Collana
ReUso