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Conference papers

Towards a semantic web representation from a 3D geospatial urban data model

Diego Vinasco-Alvarez 1, 2 John Samuel 2 Sylvie Servigne 2 Gilles Gesquière 1
1 Origami - Origami
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Urbanization is a continuous evolution process that is currently studied by a number of researchers. Multi-source and multidimensional city information models are often used to understand the ever-changing urban landscape. These models may encounter issues with interoperability and data-loss if conversion is required for integration. Today we can base ourselves on conceptual models which can help deal with data losses during conversion and may also help preserve data interoperability. This kind of model-driven approach can be useful as common representation. Recently, a movement towards graph and semantic based data representations has also grown in popularity to respond to these issues. As a first step, we consider CityGML, a common standard that can be used to represent 3D urban information. We propose a strategy for converting the semantics of CityGML conceptual model into ontologies and later to semantic web formats to facilitate integration. In addition, we propose a method for converting and storing CityGML instances into RDF individuals that respect the generated ontology. This proposed approach overcomes the loss of semantic information resulting from the direct translation of different types of data into graphs such as RDF
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Conference papers
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Submitted on : Friday, May 28, 2021 - 10:38:17 AM
Last modification on : Tuesday, October 12, 2021 - 5:12:15 PM
Long-term archiving on: : Sunday, August 29, 2021 - 6:29:07 PM


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  • HAL Id : hal-03240567, version 1


Diego Vinasco-Alvarez, John Samuel, Sylvie Servigne, Gilles Gesquière. Towards a semantic web representation from a 3D geospatial urban data model. SAGEO 2021, 16ème Conférence Internationale de la Géomatique, de l'Analyse Spatiale et des Sciences de l'Information Géographique., May 2021, La Rochelle [Online Event], France. pp.227-238. ⟨hal-03240567⟩



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