MODELLI CITYGML-BASED SUPPORTATI DA SISTEMI DECISIONALI PER LA CONSERVAZIONE E LA GESTIONE DEL PATRIMONIO STORICO-CULTURALE. UNA REVISIONE SISTEMATICA

During the last decades, IoT systems have demonstrated an increasing trend in applying digital and parametric models at large scale. Moreover, such technologies have underlined the higher level of arrangement for the management of Cultural Heritage traditionally based on well-structured methods and multidisciplinary skills. Due to that, the paper presents results about the issue through a systematic review. Specifically, the review is focused on the CityGML-based models set up for Cultural Heritage considering the different scales of application (according to the geographical and spatial dimensions of heritage), scope (maintenance and conservation), ontological rules (new or existent ones) and the integration of Decision Support Systems (e.g., automatization of processes in the assessment of fabrics and their systems and intervention required). The review process has highlighted the wide application of digital CityGML-based models for all the scales of Cultural Heritage. However, prevalent aims relate to the cataloguing and systematization of technical knowledge at the building scale; on the contrary, applications on diagnostic and conservation analysis of sub-components of fabrics are quite limited. Moreover, the replicability in managing such heritage with different scales and scopes by means of Application Domain Extensions or extending the main structure of the standard underlines the high potentiality in extending the CityGML ontology at the thematic and semantic level. This reflects two main opportunities: the solution in defining structured rules for the cataloguing and management of different information considering the nature of original data (historiographic, diagnostic) in all the recovery process; ii) the wide opportunity in integrating external rules of detailed Decision Support Systems using well-thought-out logical and mathematical relations.