Integrating 3D city data through knowledge graphs-Reference-Cited by-同舟云学术

Integrating 3D city data through knowledge graphs

Published:2024-04-24 Issue: Volume: Page:1-20
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Ding Linfang¹^ORCID,Xiao Guohui²³^ORCID,Pano Albulen⁴^ORCID,Fumagalli Mattia⁴^ORCID,Chen Dongsheng⁵^ORCID,Feng Yu⁵^ORCID,Calvanese Diego³⁴⁶^ORCID,Fan Hongchao¹^ORCID,Meng Liqiu⁵^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Trondheim, Norway

2. Department of Information Science and Media Studies, University of Bergen, Bergen, Norway

3. Ontopic S.r.l, Bolzano, Italy

4. Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy

5. Chair of Cartography and Visual Analytics, Technical University of Munich, Munich, Germany

6. Department of Computing Science, Umeå University, Umeå, Sweden

Funder

German Research Foundation (DFG) and the Autonomous Province of Bolzano-Bozen through its joint project “Dense and Deep Geographic Virtual Knowledge Graphs for Visual Analysis - D2G2”

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2337360

Reference33 articles.

1. Semantic integration of OpenStreetMap and CityGML with formal concept analysis

2. Integration of CityGML and Oracle Spatial for implementing 3D network analysis solutions and routing simulation within 3D-GIS environment

3. Generalization of buildings within the framework of CityGML

4. Semantic 3D City Database — An enabler for a dynamic geospatial knowledge graph

5. A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics

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