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Using Signal Processing and Semantic Web Technologies to Analyze Byzantine Iconography
May/June 2009 (vol. 24 no. 3)
pp. 73-81
Georgios Karagiannis, Ormylia Foundation
Konstantinos Vavliakis, Ormylia Foundation
Sophia Sotiropoulou, Ormylia Foundation
Argirios Damtsios, Ormylia Foundation
Dimitrios Alexiadis, Ormylia Foundation
Christos Salpistis, Ormylia Foundation
A bottom-up approach for documenting art objects processes data from innovative nondestructive analysis with signal processing and neural network techniques to provide a good estimation of the paint layer profile and pigments of artwork. The approach also uses Semantic Web technologies and maps concepts relevant to the analysis of paintings and Byzantine iconography to the Conceptual Reference Model of the International Committee for Documentation (CIDOC-CRM). This approach has introduced three main contributions: the development of an integrated nondestructive technique system combining spectroscopy and acoustic microscopy, supported by intelligent algorithms, for estimating the artworks' paint layers profile; mapping of analytical data pertinent to the diagnosis of art paintings to CIDOC-CRM to demonstrate how Semantic Web technologies can benefit cultural heritage; and the introduction of a practical setting that combines different AI fields.

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Index Terms:
non-destructive identification, CIDOC-CRM, reasoning, multispectral imaging, acoustic microscopy, spectroscopy
Citation:
Georgios Karagiannis, Konstantinos Vavliakis, Sophia Sotiropoulou, Argirios Damtsios, Dimitrios Alexiadis, Christos Salpistis, "Using Signal Processing and Semantic Web Technologies to Analyze Byzantine Iconography," IEEE Intelligent Systems, vol. 24, no. 3, pp. 73-81, May-June 2009, doi:10.1109/MIS.2009.67
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