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Article

Ontology-Based Semantic Conceptualisation of Historical Built Heritage to Generate Parametric Structured Models from Point Clouds

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Department of Environmental, Land and Infrastructure Engineering (DIATI)-Politecnico di Torino, C.so Duca Degli Abruzzi 24, 10129 Torino, Italy
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Centre for Research in Geospatial Data and Intelligence, Department of Geomatics Sciences, Université Laval, Quebec, QC G1V 0A6, Canada
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School of Rural and Surveying Engineering, National Technical University of Athens, Leof. Alimou Katechaki, Zografou, 157 72 Athens, Greece
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Department of Urbanism, Delft University of Technology, Michiel de Ruyterweg 12, 2628 BA Delft, The Netherlands
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Department of Architecture and Design (DAD)-Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy
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Polito FULL|the Future Urban Legacy Lab, Toolbox Coworking, Via Agostino da Montefeltro 2, 10125 Torino, Italy
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Authors to whom correspondence should be addressed.
Academic Editors: Dorina Lauritano and Raffaele Zinno
Appl. Sci. 2021, 11(6), 2813; https://doi.org/10.3390/app11062813
Received: 16 February 2021 / Revised: 17 March 2021 / Accepted: 18 March 2021 / Published: 22 March 2021
Nowadays, cultural and historical built heritage can be more effectively preserved, valorised and documented using advanced geospatial technologies. In such a context, there is a major issue concerning the automation of the process and the extraction of useful information from a huge amount of spatial information acquired by means of advanced survey techniques (i.e., highly detailed LiDAR point clouds). In particular, in the case of historical built heritage (HBH) there are very few effective efforts. Therefore, in this paper, the focus is on establishing the connections between semantic and geometrical information in order to generate a parametric, structured model from point clouds using ontology as an effective approach for the formal conceptualisation of application domains. Hence, in this paper, an ontological schema is proposed to structure HBH representations, starting with international standards, vocabularies, and ontologies (CityGML-Geography Markup Language, International Committee for Documentation conceptual reference model (CIDOC-CRM), Industry Foundation Classes (IFC), Getty Art and Architecture Thesaurus (AAT), as well as reasoning about morphology of historical centres by analysis of real case studies) to represent the built and architecture domain. The validation of such schema is carried out by means of its use to guide the segmentation of a LiDAR point cloud from a castle, which is later used to generate parametric geometries to be used in a historical building information model (HBIM). View Full-Text
Keywords: ontology; semantic segmentation; conceptualisation; HBH (historical built heritage); point clouds; parametric models; HBIM (historical building modelling) ontology; semantic segmentation; conceptualisation; HBH (historical built heritage); point clouds; parametric models; HBIM (historical building modelling)
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MDPI and ACS Style

Colucci, E.; Xing, X.; Kokla, M.; Mostafavi, M.A.; Noardo, F.; Spanò, A. Ontology-Based Semantic Conceptualisation of Historical Built Heritage to Generate Parametric Structured Models from Point Clouds. Appl. Sci. 2021, 11, 2813. https://doi.org/10.3390/app11062813

AMA Style

Colucci E, Xing X, Kokla M, Mostafavi MA, Noardo F, Spanò A. Ontology-Based Semantic Conceptualisation of Historical Built Heritage to Generate Parametric Structured Models from Point Clouds. Applied Sciences. 2021; 11(6):2813. https://doi.org/10.3390/app11062813

Chicago/Turabian Style

Colucci, Elisabetta, Xufeng Xing, Margarita Kokla, Mir A. Mostafavi, Francesca Noardo, and Antonia Spanò. 2021. "Ontology-Based Semantic Conceptualisation of Historical Built Heritage to Generate Parametric Structured Models from Point Clouds" Applied Sciences 11, no. 6: 2813. https://doi.org/10.3390/app11062813

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