Semantic annotations on heritage models : 2d/3d approaches and future research challenge
Communication avec acte
Author
261638 Modèles et simulations pour l'Architecture et le Patrimoine [MAP]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
Abstract
Abstract. Research in the field of Cultural Heritage is increasingly moving towards the creation of digital information systems, in which the geometric representation of an artifact is linked to some external information, through meaningful tags. The process of attributing additional and structured information to various elements in a given digital model is customarily identified with the term semantic annotation; the added contextual information is associated, for instance, to analysis and conservation terms. Starting from the existing literature, aim of this work is to discuss how semantic annotations are used, in digital architectural heritage models, to link the geometrical representation of an artefact with knowledge-related information. Most consolidated methods -such as traditional mapping on 2D media, are compared with more recent approaches making the most of 3D representation. Reference is made, in particular, to Heritage-BIM techniques and to collaborative reality-based platforms, such as Aïoli (http://aioli.cloud). Potentialities and limits of the different solutions proposed in literature are critically discussed, also addressing future research challenges in Cultural Heritage application fields.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Ouvrage scientifique
CROCE, Valeria; GABRIELLA, CAROTI; DE LUCA, L.; PIEMONTE, A;
VERON, Philippe (FrancoAngeli srl, 2021)
L’applicazione dell’Intelligenza Artificiale (IA) ai beni architettonici introduce promettenti evoluzioni nel settore del Disegno: tecniche più automatizzate di segmentazione semantica possono essere estese al modello ... -
Article dans une revue avec comité de lecture
CROCE, Valeria; CAROTI, Gabriella; PIEMONTE, Andrea; DE LUCA, Livio; VÉRON, Philippe (MDPI AG, 2023-02-23)
We propose a semi-automatic Scan-to-BIM reconstruction approach, making the most of Artificial Intelligence (AI) techniques, for the classification of digital architectural heritage data. Nowadays, Heritage- or Historic-Building ... -
Article dans une revue avec comité de lecture
CROCE, Valeria; CAROTI, Gabriella; DE LUCA, Livio; JACQUOT, Kévin; PIEMONTE, Andrea; VÉRON, Philippe (MDPI, 2021)
This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on ... -
Article dans une revue avec comité de lectureThis article presents a methodological approach to the semantic description of architectural elements based both on theoretical reflections and research experiences. To develop this approach, a first process of extraction ...
-
Communication avec acteHICHRI, Nouha; STEFANI, Chiara; DE LUCA, Livio;
VERON, Philippe (Proceedings of the 3D-ARCH International Conference, 2013)
Today, we need 3D models of heritage buildings in order to handle more efficiently projects of restoration, documentation and maintenance. In this context, developing a performing approach, based on a first phase of building ...

