Vers une ontologie de domaine pour l’analyse des tissus anciens. Le projet Silknow et le cas du patrimoine soyeux européen

Abstract

In this article, we present the Silknow project (Silk heritage in the knowledge society: from punched card to big data, deep learning and visual/tangible simulations, 2018-2021). This project aimed to use Semantic Web technologies to give greater visibility to silk objects produced and consumed in Europe between the 15th and 19th centuries. Silk is a particularly important material in European history, and it has been used to produce exceptional objects of great historical interest. However, it is a threatened heritage that is little known to the general public. We present the methodology used to develop a knowledge graph, and in particular the steps that were necessary to create the underlying data model, based on the CIDOC-CRM or CIDOC Conceptual Reference Model. We also propose a CIDOC-CRM-compatible model to express the complex semantics of the creation and production process of ancient silk fabrics.

Keywords

• knowledge modelling
• ontology
• material heritage
• cultural heritage
• open data
• linked data