Volume XLII-4/W10 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W10, 113-118, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W10-113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2018

12 Sep 2018

EXTENSION AND CONTEXTUALISATION FOR LINKED SEMANTIC 3D GEODATA

C. Métral and G. Falquet C. Métral and G. Falquet
  • Centre Universitaire d’informatique, University of Geneva, 7 route de Drize, 1227 Carouge, Switzerland

Keywords: 3D linked geodata, nD linked geodata, CityGML, RDF, SPARQL, OWL

Abstract. The application of the linked data principles provide a simple and effective way to publish and share data on the Web. The publication of geodata on the Web bas been studied and developed for a long time, leading to the creation of geo vocabularies and ontologies as well as geographic query languages. This is also true for 3D geodata, for which multiple RDF vocabularies and OWL ontologies exist (at the building, city, or territory level). In this paper we show that at least two issues remain to be addressed to reach a satisfactory publication framework for 3D linked geodata. First, the semantic model interconnection issue is not magically solved by the creation of ontologies, it requires the careful design of interconnection and extension schemes and their management. Second, the representation of additional dimensions, such as time, level of detail, confidence level, provenance, etc. cannot be directly handled in RDF. For these two issues we propose methodologies and design patterns and show how they can actually be used to create a semantically rich representation of 3D or nD linked geodata.

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