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A metadata enriched system for the documentation of multi-modal digital imaging surveys

Article dans une revue avec comité de lecture
Author
PAMART, Anthony
441569 Centre National de la Recherche Scientifique [CNRS]
DE LUCA, Livio
441569 Centre National de la Recherche Scientifique [CNRS]
ccVERON, Philippe
58355 École Nationale Supérieure des Arts et Métiers [ENSAM]
527033 Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) [LIS]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
261638 Modèles et simulations pour l'Architecture et le Patrimoine [MAP]
1259 Centre de recherche et d'applications sur les thérapies géniques [CRATG]
572489 Arts et Métiers ParisTech
1003434 Arts et Métiers Sciences et Technologies
1042365 Approches génétiques intégrées et nouvelles thérapies pour les maladies rares [INTEGRARE]
1053657 Centre de recherche en Myologie – U974 SU-INSERM
1064687 Généthon

URI
http://hdl.handle.net/10985/23381
DOI
10.14434/sdh.v6i1.33767
10.14434/sdh.v6i1.33767
Date
2020-12
Journal
A metadata enriched system for the documentation of multimodal digital imaging surveys

Abstract

In the field of Digital Heritage studies, data provenance has always been an open and challenging issue. As Cultural Heritage (CH) objects are unique by definition, the methods, practices and strategies to build digital documentation are not homogeneous, universal or standardized. Metadata is a minimalistic yet powerful form to source and describe a digital document. It is often required or mandatory at an advanced stage of a Digital Heritage project. Our approach is to document a Digital Heritage asset by integrating meaningful data from multiple sources and multimodal imaging surveys. This article exposes the methodological and technical aspects related to the ongoing development of MEMoS – which stands for Metadata Enriched Multimodal documentation System. MEMoS aims to contribute to data provenance issues in current multimodal imaging surveys. It explores a way to document CH oriented capture data sets with a versatile descriptive metadata scheme inspired from the W7 ontological model. In addition, an experiment illustrated by several case studies explores the possibility of integrating this metadata encoded into 2D barcodes directly to the captured image set. The article lays the foundation of a three-part methodology to describe, encode and display metadata-enriched documentation of CH objects.

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