ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume X-4/W4-2024
31 May 2024
 | 31 May 2024

Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”

Diego Vinasco-Alvarez, John Samuel, Sylvie Servigne, and Gilles Gesquière

Keywords: Geospatial Semantic Web, Urban Knowledge Graph, 3D City Model, Model-driven Approach, Interoperability, Computational Ontology

Abstract. As urban data is becoming more complex, researchers are exploring the use of linked data for studying complex urban phenomena. However, mere transformation of heterogeneous data formats to formal knowledge graph formats such as Ontology Web Language (OWL) result in the loss of data. Therefore, we propose an automated approach based on standards to automatically transform conceptual models of urban data to OWL. In this article, we propose reusable configuration rules for transforming UML to OWL as well as the reasoning behind our choice. Our approach is demonstrated by the transformation of a 3D geospatial urban data model, CityGML 3.0, to a network of computational ontologies, informally entitled “CityOWL”. We also propose several alignments between the resulting ontologies and existing geospatial, semantic, and temporal linked data standards such as GeoSPARQL, SKOS, and OWL-Time.