IFC TO CITYGML CONVERSION ALGORITHM BASED ON GEOMETRY AND SEMANTIC MAPPING

9 citations as recorded by crossref.

1. BIM Data Dictionaries for Semantic Classification and Attribution of Geospatial Features in GISs S. Schilling & C. Clemen https://doi.org/10.3390/ijgi15070301
2. Implementation of BIM Data in CityGML—Research and Perspectives for Creating a QGIS Plugin for Spatial Analysis: Experience from Poland D. Janisio-Pawłowska & W. Pawłowski https://doi.org/10.3390/su16020642
3. Accurate assessment technology of BIM bridge structure status using spatiotemporal transformation graph neural network Q. Zhen et al. https://doi.org/10.1007/s43926-026-00321-x
4. Balancing semantic and geometric lightweighting for building shell extraction using BIM and voxelization Q. Zhao et al. https://doi.org/10.1016/j.autcon.2026.107022
5. Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion H. Şenol & T. Gökgöz https://doi.org/10.1007/s12145-024-01343-1
6. Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency (REDIRECT) O. Lawal & N. Nawari https://doi.org/10.36680/j.itcon.2023.37
7. Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency O. Lawal & N. Nawari https://doi.org/10.36680/j.itcon.2023.037
8. A systematic review of multi-scale digital modelling in sustainable urban design and management F. Guo et al. https://doi.org/10.1016/j.scs.2024.106103
9. Blockchain-Enabled City Information Modeling Framework for Urban Asset Management O. Lawal & N. Nawari https://doi.org/10.1061/JAEIED.AEENG-1644