Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/0E82791B-17AC-4F45-BA5E-05E3DB269EB5 | - |
| Identifier | https://doi.org/10.1007/978-3-642-34234-9_31 | - |
| Language | en | - |
| Extent | 10 pages | en |
| Title | Collective intelligence in cultural heritage protection | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Doulamis, Anastasios | en |
| Creator | Maria Karoglou | en |
| Creator | Antonia Moropoulou | en |
| Creator | Anastasia Kioussi | en |
| Publisher | Springer Verlag | en |
| Content Summary | Cultural heritage protection demands targeted restoration actions in order to increase monuments’ lifetime. Such actions require the use of conservation materials (e.g., consolidation materials), which can increase the durability of historic materials. However, the performance of each material on the restoration phase significantly differs with respect to its type, chemical properties and the building substrate. In this paper, we propose a new decision support architecture able to face these obstacles. The system automatically recommends to the experts the most suitable consolidation material product, among the available ones in the market. Integrated protocols are exploited, computer vision tools and artificial intelligence systems via user’s feedback. The proposed architecture is evaluated using a semi-supervised learning methodology on the design of consolidation materials. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 2012 | - |
| Subject | Computer vision | en |
| Subject | Decision support systems | en |
| Bibliographic Citation | A. Doulamis, A. Kioussi, M. Karoglou, N. Matsatsinis, A. Moropoulou ," Collective intelligence in cultural heritage protection ,"in 2012 4th Intern, Conf. (EuroMed),pp.310-319.doi:10.1007/978-3-642-34234-9_31 | en |
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