Research on heritage transforms the interaction between material objects and multidisciplinary studies into a vector for the production of collective knowledge. Our innovative approach to computational modeling and digitization leverages the scientific project of Notre-Dame de Paris, mobilizing specialists from various fields (archaeology, anthropology, architecture, history, chemistry, physics, computer science) to develop a data corpus reflecting current scientific practices in heritage studies in the digital age.
We aspire to transcend mere digitization of physical objects to embrace an in-depth knowledge of them, examining how the characteristics of material objects and the associated knowledge mutually nourish each other through the prism of research.
Scientifically, our ambition is to introduce approaches for the correlation of multidimensional data to synthesize, structure, and interpret a vast array of scientific resources, focusing on four fundamental axes: space, form, time, and domain of knowledge. These axes are explored through geometrico-visual representation, annotation and classification of forms, temporal tracking, and the study of thematic and disciplinary intersections.
Methodologically, we are committed to documenting and deciphering multidisciplinary scientific approaches, shedding light on how various actors produce, use, and interconnect digital data related to their study subjects. The challenge is to reveal the nature of emerging knowledge, its disciplinary specificities, and its links with the attributes of the objects analyzed.
Technologically, we are working towards the creation of an innovative digital ecosystem. This socio-technical system integrates a suite of collaborative tools for the acquisition, categorization, and annotation of resources, fostering the design of an autonomous correlation engine that facilitates the integration and dynamic interrelation of data and multiple scientific perspectives.
