Abstract
The enhancement of digital technologies, the diffusion of the crowdsensing paradigm envisage useful applications to cultural heritage and depict novel approaches to the condition assessment and forms of conservation and preventive conservation. A large amount of inhomogeneous data is available to the community and, therefore, effective and reliable tools able to facilitate their processing and management are needed to design proper safeguarding and valorization measures. The present paper discusses a methodology that integrates traditional approaches for the knowledge and condition assessment of cultural heritage with those based on well-known web applications available at a large scale on different devices. In other terms, it investigated the feasibility and the reliability of the crowd-sourcing paradigm applied to the acquisition of data related to the current condition of architectural and valuable assets. The methodology is applied to two relevant but different examples of the International cultural heritage, for which a flexible and scalable database has been populated. Processing of data provides encouraging results both in the area of the indirect survey and preventive conservation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pieraccini, M., Guidi, G., Atzeni, C.: 3D digitizing of cultural heritage. J. Cult. Herit. 2(1), 63–70 (2001). https://doi.org/10.1016/S1296-2074(01)01108-6
Tscheu, F., Buhalis, D.: Augmented reality at cultural heritage sites. In: Inversini, A., Schegg, R. (eds.) Information and Communication Technologies in Tourism 2016, pp. 607–619. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-28231-2_44
ICOMOS: ICOMOS Charter – Principles for the Analysis, Conservation and Structural Restoration of Architectural Heritage (2003). https://www.icomos.org/en/resources/charters-and-texts. Accessed 15 July 2020
Trizio, I., et al.:Versatil Tools: Digital survey and virtual reality for documentation, analysis and fruition of cultural heritage in seismic areas. Int. Arch. Photogrammetry Remote Sens. Spatial Inf. Sci. XLII-2/W17, 377–384 (2019). https://doi.org/10.5194/isprs-archives-XLII-2-W17-377-2019.
Meyer, É., Grussenmeyer, P., Perrin, J.-P., Durand, A., Drap, P.: A web information system for the management and the dissemination of Cultural Heritage data. J. Cult. Herit. 8(4), 396–411 (2007). https://doi.org/10.1016/j.culher.2007.07.003
Biagini, C., Capone, P., Donato, V., Facchini, N.: Towards the BIM implementation for historical building restoration sites. Autom. Constr. 71(1), 74–86 (2016). https://doi.org/10.1016/j.autcon.2016.03.003
Marra, A., Sabino, A., Bartolomucci, C., Trizio, I., Mannella, A., Fabbrocino, G.: On a rational and interdisciplinary framework for the safety and conservation of historical centres in Abruzzo region. Int. J. Architectural Heritage, 1637478 (2019). https://doi.org/10.1080/15583058.2019.1637478.
Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing systems on the World-Wide Web. Commun. ACM 54(4), 86–96 (2011). https://doi.org/10.1145/1924421.1924442
Faggiani, A., Gregori, E., Lenzini, L., Luconi, V., Vecchio, A.: Smartphone-based crowdsourcing for network monitoring: opportunities, challenges, and a case study. IEEE Commun. Mag. 52(1), 106–113 (2014). https://doi.org/10.1109/MCOM.2014.6710071
Delnevo, G., Melis, A., Mirri, S., Monti, L., Prandini, M.: Discovering the city: crowdsourcing and personalized urban paths across cultural heritage. In: Guidi, B., Ricci, L., Calafate, C., Gaggi, O., Marquez-Barja, J. (eds.) GOODTECHS 2017. LNICSSITE, vol. 233, pp. 132–141. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76111-4_14
Oomen, J., Aroyo, L.: Crowdsourcing in the cultural heritage domain: opportunities and challenges. In: Proceedings of the 5th International Conference on Communities and Technologies, pp. 138–149. AMC, New York (2011). https://doi.org/10.1145/2103354.2103373.
Bonacchi, C., Bevan, A., Keinan-Schoonbaert, A., Pett, D., Wexler, J.: Participation in heritage crowdsourcing. Museum Manage. Curatorship 34(2), 166–182 (2019). https://doi.org/10.1080/09647775.2018.1559080
Stathopoulou, E.K., Georgopoulos, A., Panagiotopoulos, G., Kaliampakos, D.: Crowdsourcing lost cultural heritage. ISPRS Ann. Photogrammetry Remote Sens. Spatial Inf. Sci. II-5/W3, 295–300 (2015). https://doi.org/10.5194/isprsannals-II-5-W3-295-2015.
Ch’ng, E., Cai, S., Zhang, T.E., Leow, F.T.: Crowdsourcing 3D cultural heritage: best practice for mass photogrammetry. J. Cult. Heritage Manage. Sustain. Dev. 9(1), 24–42 (2019). https://doi.org/10.1108/JCHMSD-03-2018-0018.
Wang, N., Zaho, X., Wang, L., Zou, Z.: Novel system for rapid investigation and damage detection in cultural heritage conservation based on deep learning. J. Infrastruct. Syst. 25(3), 1–16 (2019). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000499.
Dhonju, H.K., Xiao, W., Mills, J.P., Sarhosis, V.: Share our cultural heritage (SOCH): Worldwide 3D heritage reconstruction and visualization via web and mobile GIS. ISPRS – Int. J. Geo-Inf. 7(9), 360, (2018). https://doi.org/10.3390/ijgi7090360.
Berardi, E.: Normativa F – Fotografia (v. 4.00). Strutturazione dei dati e norme di compilazione (2015). http://www.iccd.beniculturali.it/getFile.php?id=5403. Accessed 23 Mar 2021
ICOMOS: Inscription on the World Heritage List: the Monastery of Haghpat (Armenia) (1996), https://whc.unesco.org/en/decisions/2975. Accessed 11 Apr 2020
Cuneo, P.: The Armenian architecture of the 10th to 13th centuries renaissance: regional schools and the case of Haghbat. In: Piccolotto, M., Shaninian, S. (eds.) Armenien: Tagebuch einer Reise in das Land des Ararat, pp. 185–198. Institut für Hochschulverlag, Zurich (1996)
Gandolfo, F.: Una abbazia molisana e il suo programma decorativo: Santa Maria della Strada presso Matrice. In: Quintavalle, A.C. (ed.) Le vie del Medioevo: Atti del Convegno internazionale di Studi, Parma, 28 settembre – 1° ottobre 1998, pp. 208–222. Electa, Milano (2000)
ICR: The main façade of the Santa Maria della Strada church in Matrice (2020). http://icr.beniculturali.it/pagina.cfm?usz=5&uid=73&rid=36. Accessed 26 Mar 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Marra, A., Fabbrocino, G. (2021). Crowd-Based Tools for Indirect Condition Assessment and Conservation of Cultural Heritage. In: Ioannides, M., Fink, E., Cantoni, L., Champion, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2020. Lecture Notes in Computer Science(), vol 12642. Springer, Cham. https://doi.org/10.1007/978-3-030-73043-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-73043-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73042-0
Online ISBN: 978-3-030-73043-7
eBook Packages: Computer ScienceComputer Science (R0)