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Title
Digital art posterity: building a data model for digital art corpora
Language
English
Description (en)
The research project “Digital art and posterity”, February 2015- February 2018, aims to contribute to perpetuating digital artistic heritage by developing a general descriptive system of digital works of art which provides a way to model the technical and artistic characteristics of the work, its significant properties and its formal principles in text form. This research is performed in collaboration between three institutions: the National Library of France (Bibliothèque nationale de France, BnF), the INRéV laboratory of Paris 8 University and the Living Art Lab. The partners come from different fields — those of conservation, of artistic creation and of academic research — and combine their skills and experiences to devise a conceptual model and a data model true to the specificities of the project’s corpora. This paper presents the main attributes of the proposed information model and ontology, so that all institutions involved in the collection, preservation and diffusion of digital art can provide input regarding its pertinence and interoperability.
Keywords (en)
iPRES, Kyoto
Author of the digital object
Florent  Aziosmanoff
Author of the digital object
Chu-Yin  Chen
Author of the digital object
Louise  Fauduet
Author of the digital object
Nola  N'Diaye
Author of the digital object
Adèle  Sicre
Author of the digital object
Céline  Thomas
Format
application/pdf
Size
724.5 kB
Licence Selected
CC BY-SA 4.0 International
Conferences
Conference 2017
Type of publication
Article in collected edition
Content
Details
Object type
PDFDocument
Format
application/pdf
Created
20.02.2019 11:02:12
Metadata