The structural safety of built heritage (listed or not) is fundamental to the preservation of historical centers. In many cases, especially in Southern Europe, the different buildings of the urban fabric form a single yet complex structural compound. One of the most difficult phases of the assessment of these structures is the cognitive phase, necessary to develop a shared understanding of the building across various disciplines and areas of expertise, and, which involves the synergy of stakeholders with different backgrounds and the production of heterogeneous data. This article proposes a Linked Data methodology for managing this complex part of the assessment. This methodology is based on using the Historic Survey Ontology (HSV), which the authors developed to manage the documentation associated with various parts of the construction under consideration. HSV, used together with relevant existing ontologies, enables the management of heterogeneous data within a unified, comprehensive model, as demonstrated in the application to a study case.
Leveraging linked data for enhanced knowledge representation in historical centers safety assessment: Insights from Castelnuovo Di Porto, Rome
Stefano CursiPrimo
;Letizia Martinelli;Elena Gigliarelli;Filippo Calcerano;Michele Calvano
2025
Abstract
The structural safety of built heritage (listed or not) is fundamental to the preservation of historical centers. In many cases, especially in Southern Europe, the different buildings of the urban fabric form a single yet complex structural compound. One of the most difficult phases of the assessment of these structures is the cognitive phase, necessary to develop a shared understanding of the building across various disciplines and areas of expertise, and, which involves the synergy of stakeholders with different backgrounds and the production of heterogeneous data. This article proposes a Linked Data methodology for managing this complex part of the assessment. This methodology is based on using the Historic Survey Ontology (HSV), which the authors developed to manage the documentation associated with various parts of the construction under consideration. HSV, used together with relevant existing ontologies, enables the management of heterogeneous data within a unified, comprehensive model, as demonstrated in the application to a study case.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


