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17 octobre 2022
- handle: 10670/1.jibmn3
- hal: hal-03457866
Ce document est lié à :
info:eu-repo/grantAgreement//769504/EU/Silk heritage in the Knowledge Society: from punched cards to big data, deep learning and visual / tangible simulations/SILKNOW
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
CIDOC CRM Web sémantique Ontologie Données patrimoniales Modélisation Graphe de connaissances Knowledge GraphSujets proches
Natural science Sciences Science of science Pattern ModelCiter ce document
Marie Puren et al., « Conceptual Modelling of the European Silk Heritage with the SILKNOW Data Model and Extension », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10670/1.jibmn3
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Résumé
Silk is a particularly important material in European history. Its trade has facilitated the growth of new economic centres, stimulated the development of innovative weaving techniques, and allowed the creation of exceptional objects. While many institutions specialise in its conservation, this fragile Cultural Heritage is under threat. In this article, we explain the methodology used by the Horizon 2020 SILKNOW project to better promote these Cultural Heritage collections. We present the CIDOC CRM-based data model that we designed for the creation of a Knowledge Graph. We also present the methodology used to integrate, in the data model, the annotations generated by the analysis of texts and images. Finally, we present the SIlKNOW extension, designed to model the complex semantics describing the production process of silk fabrics.