Design of a new data structure to support non-invasive diagnostic on heritage metals

Rosselet, Antoine (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Rochat, Vincent (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)

Conservation of heritage artifacts is a very sensitive task as conservators usually have very little in-formation about the artifacts. Moreover, due to the uniqueness and the historic value of these artifacts, invasive analysis are not always possible. Therefore, without sampling options, conservators are re-quired to use non-invasive diagnostic methods in order to identify the metal characteristics of the artifact. When confronted with an unknown artifact, conservators generate conceptual models of the cor-rosion forms. These models are based on formal representations of corrosion forms, but are not directly exploitable for drawing hypotheses regarding the underlying metal. This paper presents the design of a data structure generated from the conceptual models which supports the comparison and retrieval of corresponding artifacts. Integrated with a database of heritage artifacts, this data struc-ture offers advanced decision support to conservators confronted with unknown artifacts.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG Arc
Institut:
Institut du Management et des Systèmes d'Information
Classification:
Informatique
Adresse bibliogr.:
Samos, Greece, 3-5 October 2015
Date:
Samos, Greece
3-5 October 2015
2015
Pagination:
13 p.
Publié dans
Proceedings of the 9th Mediterranean Conference on Information Systems (MCIS)
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 Notice créée le 2016-07-20, modifiée le 2018-12-05

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