Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.autcon.2020.103440
Title: Extending CityGML for IFC-sourced 3D city models
Authors: Filip Biljecki 
YAN YEE JOIE LIM 
James Crawford
Diana Moraru
HELGA TAUSCHER 
AMOL JANARDAN KONDE 
KAMEL ADOUANE 
Simon Lawrence
PATRICK HUBERT THEODOOR J 
RUDI MARIA FRANS ANNE STOUFFS 
Issue Date: 1-Jan-2021
Citation: Filip Biljecki, YAN YEE JOIE LIM, James Crawford, Diana Moraru, HELGA TAUSCHER, AMOL JANARDAN KONDE, KAMEL ADOUANE, Simon Lawrence, PATRICK HUBERT THEODOOR J, RUDI MARIA FRANS ANNE STOUFFS (2021-01-01). Extending CityGML for IFC-sourced 3D city models. Automation in Construction 121 : 103440. ScholarBank@NUS Repository. https://doi.org/10.1016/j.autcon.2020.103440
Rights: Attribution-NonCommercial 4.0 International
Abstract: Differences in the scope and intent of the contrasting IFC and CityGML data formats entail that converting the former to the latter results in loss of information. However, for some use cases it is beneficial to keep also particular information from IFC that is not native to CityGML, and achieving that requires mechanisms such as the CityGML Application Domain Extension (ADE). We develop an ADE to support retaining relevant information from IFC. Besides being driven by the particular source of the input data (IFC), this multi-purpose ADE is shaped after a discovery process that involved examining potentially applicable use cases in Singapore, doubling as an extension that is adapted to a set of use cases and the local geographic context. We implement the conceptual work by generating an enriched dataset (with an automatic conversion from IFC to CityGML), visualising it, and discuss its added value in a use case.
Source Title: Automation in Construction
URI: https://scholarbank.nus.edu.sg/handle/10635/183444
DOI: 10.1016/j.autcon.2020.103440
Rights: Attribution-NonCommercial 4.0 International
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