Historic Survey Ontology (HSV)
- Latest version:
- https://w3id.org/hsv#
- Revision:
- 1.0.0
- Authors:
- Maria Laura Leonardi
- Stefano Cursi
- Letizia Martinelli
- Elena Gigliarelli
- Filippo Calcerano
- Miguel Azenha
- Daniel V. Oliveira
- Michele Calvano
- Download serialization:
- License:
- Visualization:

- Cite as:
- Maria Laura Leonardi, Stefano Cursi, Letizia Martinelli, Elena Gigliarelli, Filippo Calcerano, Miguel Azenha, Daniel V. Oliveira, Michele Calvano. Historic Survey Ontology (HSV). Revision: 1.0.0.
Ontology Specification Draft
The Historic Survey Ontology (HSV) provides a formal knowledge representation for the activities, outputs, and actors involved in the survey of historic buildings and urban heritage. The ontology models the heterogeneous sources produced during survey campaigns — including point clouds, drawings, photographs, publications, and Building Information Models — and links them explicitly to the spatial and structural entities they document, from geographic regions down to individual structural units and facades. HSV also captures the human roles involved in survey workflows (inspectors, post-processers, and authors) and formalises contextual knowledge about traditional construction techniques and seismic zonation associated with historic contexts. By making provenance, spatial organisation, and construction culture explicit and machine-readable, HSV supports interoperability across heritage documentation practices and facilitates integration with external domain ontologies.
The documentation and systematic knowledge of historic buildings requires the integration of heterogeneous data sources, diverse professional roles, and multi-scale spatial information. Survey campaigns of heritage assets typically produce a wide range of outputs — from raw three-dimensional measurement data to scholarly publications — yet the relationships between these outputs, the entities they describe, and the people responsible for them are rarely formalised in a structured and reusable way.
The Historic Survey Ontology (HSV) addresses this gap by providing a shared conceptual framework for representing survey knowledge in the domain of built heritage. The ontology is organised around two main axes. The first concerns the spatial and structural organisation of heritage contexts: HSV introduces a hierarchy of classes — Region, Historic Centre, Aggregate, Structural Unit, and Facade — that reflects the nested scales at which historic buildings and urban fabrics are typically documented. The second concerns the survey outputs themselves: HSV models documents as a central node linking heterogeneous resources (point clouds, drawings, photos, publications, and BIM models) to the entities they characterise and to the actors involved in their production.
HSV also captures broader contextual knowledge relevant to heritage interpretation, including traditional construction techniques and seismic zonation, which can be associated with regions or historic centres to enrich the description of the surveyed asset.
The ontology reuses the FOAF vocabulary for the representation of persons and their roles, and is designed to align with and complement other domain ontologies used in the heritage and built environment communities. HSV is published at https://w3id.org/hsv and is available in Turtle serialisation under a Creative Commons Attribution 4.0 licence.
Historic Survey Ontology (HSV): Overview back to ToC
This ontology has the following classes and properties.
Classes
Object Properties
Historic Survey Ontology (HSV): Description back to ToC
The Historic Survey Ontology (HSV) organises the knowledge involved in historic survey activities by explicitly modelling both the information sources and actors directly or indirectly involved in the survey.
Cross-reference for Historic Survey Ontology (HSV) classes, object properties and data properties back to ToC
This section provides details for each class and property defined by Historic Survey Ontology (HSV).
Object Properties
IRI: https://w3id.org/hsv#acquiredBy
IRI: https://w3id.org/hsv#contains
IRI: https://w3id.org/hsv#hasAuthor
IRI: https://w3id.org/hsv#hasDocument
IRI: https://w3id.org/hsv#hasInspector
IRI: https://w3id.org/hsv#hasPostProcesser
IRI: https://w3id.org/hsv#hasSeismicZone
has traditional construction techniqueop back to ToC or Object Property ToC
IRI: https://w3id.org/hsv#hasTraditionalConstructionTechnique
IRI: https://w3id.org/hsv#isContainedBy
IRI: https://w3id.org/hsv#isDocumentOf
IRI: https://w3id.org/hsv#postProcessedBy
Legend back to ToC
c: Classes
op: Object Properties
Cursi, S., Martinelli, L., Gigliarelli, E., Calcerano, F., Leonardi, M. L., Azenha, M., Oliveira, D. V., & Calvano, M. (2025). Leveraging linked data for enhanced knowledge representation in historical centers safety assessment: insights from Castelnuovo di Porto, Rome. Archeologia e Calcolatori, Supplemento 13, 217–231. https://doi.org/10.19282/acs.13.2025.16
Acknowledgments back to ToC
The authors would like to thank Silvio Peroni for developing LODE, a Live OWL Documentation Environment, which is used for representing the Cross Referencing Section of this document and Daniel Garijo for developing Widoco, the program used to create the template used in this documentation.