Computer-aided support system for metal diagnosis of patrimonial objects

Rosselet, Antoine (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Grosjean, Marcel (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Gaspoz, Cédric (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Degrigny, Christian (Haute Ecole Arc Conservation-Restauration, HES-SO Haute Ecole Spécialisée de Suisse Occidentale)

Metal diagnosis of heritage objects is a difficult task performed by conservators, mainly due to the fact that invasive techniques are not allowed on these artifacts. Therefore, conservators have developed diagnosis methods based on the observation of the corrosion forms of the objects. However, although these methods are useful to share a common representation of one specific object, they are very difficult to use to compare or search for objects presenting similar corrosion forms. To support the comparison of different objects, we propose a new support system built upon these methods. This paper presents an innovative way to use C-K theory in order to build an artifact in an interdisciplinary context. The resulting artifact integrates concepts and knowledge borrowed from both the conservation-restoration and the information systems fields.


Keywords:
Faculty:
Design et Arts visuels
Economie et Services
School:
HE-Arc CR
HEG Arc
Institute:
Institut du Management et des Systèmes d'Information
Unité de recherche en Conservation-restauration de la Haute Ecole Arc - UR-ARC CR
Subject(s):
Conservation - Restauration
Informatique
Publisher:
Cham, Springer International Publishing
Date:
2016-03
Cham
Springer International Publishing
Pagination:
pp. 961-971
Published in:
New advances in information systems and technologies
Series Statement:
Advances in intelligent systems and computing, no. 444
DOI:
ISBN:
978-3-319-31231-6
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2016-07-20, last modified 2019-05-09

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