George Pavlidis, Anestis Koutsoudis, Despoina Tsiafaki, Melpomeni Karta, Vasileios Sevetlidis, Vasileios Arampatzakis, Apostolos Sarris, Miltiadis Polidorou, Victor Klinkenberg, Zeyd Boukhers, Lingxiao Kong, Emeri Farinetti, Fernando Moreno Navarro, Ioannis Kakogiannos, Sofia Aparicio, Javier Ortega Heras, Fernando Ramonet, Athos Agapiou, Stylianos Hadjipetrou, Kyriakos Michaelides, Stavros Patsalidis, Phaedon Kyriakidis, Apostolos Papakonstantinou, Demetrios Athanasoulis, Christos Maris, Themistoklis Vakoulis, Tomoki Nagata, Katrin Beyer, Savvas Saloustros
The preservation of cultural heritage faces increasing challenges from environmental, climatic, and anthropogenic pressures. The ARGUS Horizon Europe project addresses these challenges by proposing an innovative predictive preservation approach that leverages AI-driven digital twins and multimodal data fusion to assess and mitigate risks to heritage sites. Our research focuses on developing a sustainable, dynamic decision support system (DSS) that integrates multi-scale on-site and remote sensing data, enabling holistic heritage management, while focusing on the preventive rather than the reactive aspects. The primary research question treated in this paper relates to how digital twins incorporating multi-dimensional data and an ontology background enhance the preservation and adaptive management of cultural heritage in a changing environment.