A digital ecosystem for the multidisciplinary study of Notre-Dame de Paris

Livio De Luca (1)

1 MAP - Modèles et simulations pour l'Architecture et le Patrimoine

The 2019 fire of Notre-Dame de Paris was not only a significant event in its history, but also provided a unique platform for multidisciplinary studies and digital data analysis. At the initiative of the CNRS and the Ministry of Culture, a large-scale collaboration is currently underway to manage and analyse the extensive data generated in connection with the restoration of the cathedral. The role of digital data is crucial for understanding complex multidisciplinary studies, especially in the field of cultural heritage. A digital data working group, composed of thirty scientists from 12 laboratories, is focused on documenting and organising this collective experience to serve both the immediate needs of restoration and the long-term goals of cultural heritage research. Key challenges include data traceability, knowledge modelling, multidimensional analysis and the need to address gaps in semantic understanding, memory, data correlation and technology. To address these challenges, a novel method is proposed that combines the digital representation of material heritage with the evolving knowledge about it. By collaborating with the wider scholarly community involved in Notre Dame's scientific action, the aim is to introduce new methods in heritage research and bridge the gap between the humanities and digitally-driven scholarship. This initiative also intersects with two primary scientific vectors: the technological approach to data collection and the generation and analysis of semantically enriched datasets.

Domains: Library and information sciences; Architecture, space management

Livio De Luca. A digital ecosystem for the multidisciplinary study of Notre-Dame de Paris. Journal of Cultural Heritage, 2023, Special issue “Notre-Dame de Paris”, ⟨10.1016/j.culher.2023.09.011⟩. ⟨hal-04300455⟩