Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/0E82791B-17AC-4F45-BA5E-05E3DB269EB5 | - |
| Αναγνωριστικό | https://doi.org/10.1007/978-3-642-34234-9_31 | - |
| Γλώσσα | en | - |
| Μέγεθος | 10 pages | en |
| Τίτλος | Collective intelligence in cultural heritage protection | en |
| Δημιουργός | Matsatsinis Nikolaos | en |
| Δημιουργός | Ματσατσινης Νικολαος | el |
| Δημιουργός | Doulamis, Anastasios | en |
| Δημιουργός | Maria Karoglou | en |
| Δημιουργός | Antonia Moropoulou | en |
| Δημιουργός | Anastasia Kioussi | en |
| Εκδότης | Springer Verlag | en |
| Περίληψη | 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 |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-04 | - |
| Ημερομηνία Δημοσίευσης | 2012 | - |
| Θεματική Κατηγορία | Computer vision | en |
| Θεματική Κατηγορία | Decision support systems | en |
| Βιβλιογραφική Αναφορά | 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 |
Copyright © DIAS 2013
