Abstract
Conservation activities, before and after decay detection, are considered as a prerequisite for maintaining cultural artifacts in their initial/original form. Taking into account the strict regulations where sampling from art works of great historical value is restricted or in many cases prohibited, the application of Non-Destructive Testing techniques (NDTs) during the conservation or even decay detection is highly appreciated by conservators. Non-destructive examination include the employment of multiple analysis approaches and techniques namely Infrared Thermography (IRT), Ultrasonics (US), Ground Penetrating Radar (GPR), VIS–NIR Fiber Optics Diffuse Reflectance Spectroscopy (FORS), portable X-Ray Fluorescence (XRF), Environmental Scanning Electron Microscopy with Energy Dispersive X-Ray Analysis (ESEM-EDX), Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) and micro-Raman Spectroscopy. These produce a huge amount of data, in different formats, such as text, numerical sets and visual objects (i.e. images, thermograms, radargrams, spectral data, graphs, etc). Moreover, conservation documentation presents major drawbacks, as fragmentation and incomplete description of the related information is usually the case. Assigning conservation data to the objects’ metadata collection is very rare and not yet standardized. The Doc-Culture Project aims to provide solutions for the NDT application methodologies, analysis and process along with their output data and all related conservation documentation. The preliminary results are discussed in this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Walston, S.: The Preservation and Conservation of Aboriginal and Pacific Cultural Material in Australian Museums. ICCM Bulletin 4(4), 9–21 (1978)
Arinat, M., Shiyyab, A., Abd-Allah, R.: Byzantine glass mosaics excavated from the Cross Church, Jerash, Jordan: an archaeometrical investigation. Mediterranean Archaeology and Archaeometry 14(2), 43–53 (2014)
Del Federico, E., Blümich, B., Chiari, G., Kehlet, C., Haber, A., Zia, W., Quang, S., Manzano, C.G.: Non-destructive multi-analytical investigation of roman mosaics at herculaneum. In: 5th Int. Conference on Synchrotron Radiation in Art and Archaeology (SR2A), New York, Unites States (2012)
Cheilakou, E., Troullinos, M., Koui, M.: Identification of pigments on Byzantine wall paintings from Crete (14th century AD) using non-invasive Fiber Optics Diffuse Reflectance Spectroscopy (FORS). Journal of Archaeological Science 41, 541–555 (2014)
Cheilakou, E., Dritsa, V., Saint, A., Theodorakeas, P., Koui, M., Kostanti, K., Christopoulou, A.: Non-invasive identification of pigments on mycenaean wallpaintings (14th -12th century BC) from the archaeological sites of mycenae and tiryns, peloponnese. In: Proc. the 9th International Symposium on the Conservation of Monuments in the Mediterranean Basin, Ankara, Turkey (2014). (in press)
Saint, A.C., Cheilakou, E., Dritsa, V., Koui, M., Kostanti, K., Christopoulou, A.: The combined use of XRF and VIS-NIR FORS spectroscopic techniques for the non-invasive identification of pigments on archaeological works of art. Technart 2015- No-destructive and microanalytical techniques in art and cultural heritage, Catania, Italy (in press, 2015)
Polikar, R.: Pattern Recognition, σε Wiley Encyclopedia of Biomedical Engineering. John Wiley & Sons (2006)
Jain, A.K., Duin, R.P.W., Mao, J.: Statistical Pattern Recognition: a review. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 4–37 (2000)
Bishop, C.: Pattern Recognition and Machine Learning. Springer (2006)
Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd Edition. Wiley (2000)
Zhu, F., Qin, B., Feng, W., Wang, H., Huang, S., Lv, Y., Chen, Y.: Reducing Poisson noise and baseline drift in X-ray spectral images with bootstrap Poisson regression and robust nonparametric regression 58, 1739-1758 (2013). doi:10.1088/0031-9155/58/6/1739
Kyriaki-Manessi, D., Zervos, S., Giannakopoulos, G.: D4.2.1. identification of extension points to CIDOC- CRM. In: DOC-CULTURE, Thalis- Development of an integrated information environment for assessment and documentation of conservaiton interventions to cultural works/ objects with non-destructive techniques, Athens (2013)
Kouis, D., Giannakopoulos, G.: Incorporate cultural artifacts conservation documentation to information exchange standards- the DOC-CULTURE case. In: Proceedings of the 3rd International Conference on Integrated Information, Prague, Czech Republic, September 5–9, 2013
Kouis, D., Kyriaki-Manesi, D., Zervos, S., Giannakopoulos, G., Cheilakou, E., Koui, M.: Integrating non destructive testing techniques data for cultural heritage monuments to cidoc conceptual reference model. In: The 9th International Symposium on the Conservation of Monuments in the Mediterranean Basin, Ankara, Turkey, June 3–5, 2014
Vassilakaki, E., Kyriaki-Manessi, D., Zervos, S., Giannakopoulos, G.: CIDOCCRM extensions for conservation processes: a methodological approach. In: Sakkas, D. (ed.) 4th international Conference on Integrated Information, Madrid, Spain, September 5–8, 2014
Amat, A., Miliani, C., Brunetti, B.G.: Non-invasive multi-technique investigation of artworks: A new tool for on-the-spot data documentation and analysis. Journal of Cultural Heritage 14(1), 23–30 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Kouis, D. et al. (2015). Standardizing NDT& E Techniques and Conservation Metadata for Cultural Artifacts. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-24129-6_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24128-9
Online ISBN: 978-3-319-24129-6
eBook Packages: Computer ScienceComputer Science (R0)