Visualising Interpretive Layers in Cultural Heritage: Data narratives with Linked Open Data in mythLOD collection

This work examines the evolving methods of disseminating Cultural Heritage data, emphasising the transition to Linked Open Data (LOD) and storytelling for enhanced user engagement. The mythLOD project showcases this transition by converting the Mythologiae data collection into LOD, enabling richer data interpretation and visualisation. mythLOD integrates the artwork descriptions and their scholarly interpretations, connecting artworks with literary sources through a layered data model. The resulting Knowledge Base is visualised via an online platform, making the information accessible through an online catalogue and a data storytelling interface. These visualisations reveal latent knowledge and foster deeper exploration of Cultural Heritage data, particularly by revealing the connections between literary sources and artworks and demonstrating LOD’s potential to enrich user interaction and knowledge acquisition.

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Publication Details

Journal
DigItalia
Published
2025-12-22
DOI
https://doi.org/10.36181/digitalia-00148
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00

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article

Visualising Interpretive Layers in Cultural Heritage: Data narratives with Linked Open Data in mythLOD collection

F. Tomasi, Valentina Pasqual
DigItalia
Digital Humanities and Scholarship
article

Visualising Interpretive Layers in Cultural Heritage: Data narratives with Linked Open Data in mythLOD collection

F. Tomasi, Valentina Pasqual
article en

Abstract

This work examines the evolving methods of disseminating Cultural Heritage data, emphasising the transition to Linked Open Data (LOD) and storytelling for enhanced user engagement. The mythLOD project showcases this transition by converting the Mythologiae data collection into LOD, enabling richer data interpretation and visualisation. mythLOD integrates the artwork descriptions and their scholarly interpretations, connecting artworks with literary sources through a layered data model. The resulting Knowledge Base is visualised via an online platform, making the information accessible through an online catalogue and a data storytelling interface. These visualisations reveal latent knowledge and foster deeper exploration of Cultural Heritage data, particularly by revealing the connections between literary sources and artworks and demonstrating LOD’s potential to enrich user interaction and knowledge acquisition.

DigItaliaVol. 20(2)
Società Italiana di Fisica (IT)
Università di Bologna
Sustainable cities and communities
Openalex Percentile: Top 23%
Digital Humanities and Scholarship
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