n-Dimensional analysis and memorisation ecosystem for building cathedrals of knowledge in Heritage Science

Introduction

The research on cultural heritage makes the confrontation between material objects and multidisciplinary studies the arena for the production of collective knowledge. In the digital age, this is then a privileged framework for studying the collective analysis and interpretation of facts, objects, and phenomena that bring together a new generation of data towards the construction of new scientific resources - our tomorrows heritage.

Research Questions

How can one memorise these bundles of individual gazes converging on the same object of study? How can one analyse their dynamics of construction, of overlap, and of fusion leading to new knowledge?

Project Overview

This project introduces a new field - a territory of multidisciplinary and multidimensional digitally born data - as raw material for studying the mechanisms of knowledge production in cultural heritage.

Methodology

Introducing a pioneering approach in computational modelling and digitisation, this project benefits from the exceptional experimental framework of the scientific worksite on Notre-Dame de Paris. This involves today 175 researchers coming from disciplines like:

1. Archaeology
2. Anthropology
3. Architecture
4. History
5. Chemistry
6. Physics
7. Computer Science

Objectives

The goal is to build an emblematic corpus of data on scientific practices in heritage science, in the digital age. Within this unique opportunity to produce and analyse masses of born digital scientific data, n-Dame_Heritage will deliver:

• A generalisable approach
• A replicable methodology
• An open and reusable digital ecosystem

These elements will help build cathedrals of knowledge through collaborative research on material objects.

Innovation

By introducing and experimenting with next-generation methods and tools for semantic-driven data production and analysis, this project shifts the cursor of digitisation from the physical object to the knowledge for understanding it. This aims to analyse the interdependence between its complex facets and the related knowledge objects built by scholars through their research practices.