Please use this identifier to cite or link to this item: https://doi.org/10.5194/isprs-annals-IV-4-W8-35-2019
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dc.titleQuality of BIM-GIS conversion
dc.contributor.authorFILIP BILJECKI
dc.contributor.authorTAUSCHER HELGA
dc.date.accessioned2019-10-02T04:17:54Z
dc.date.available2019-10-02T04:17:54Z
dc.date.issued2019-09-23
dc.identifier.citationFILIP BILJECKI, TAUSCHER HELGA (2019-09-23). Quality of BIM-GIS conversion. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. IV-4/W8 (35-42). ScholarBank@NUS Repository. https://doi.org/10.5194/isprs-annals-IV-4-W8-35-2019
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/159687
dc.description.abstractMuch work has been done on quality of geoinformation and interoperability between BIM and GIS. However, the intersection of the two – quality control of the conversion between BIM and GIS – remains uncharted. This discussion paper, based on empirical results, is one of the first steps towards mapping out a framework on errors and quality control in the context of BIM–GIS interoperability. In our work we focus on the conversion from IFC to CityGML, identifying several systematic errors potentially common and/or exclusive to the context of BIM–GIS conversion. Besides exposing several faults pertaining to IFC-sourced 3D city models, we discuss their taxonomy and their potential impact when engaged in applications. This paper is also relevant with respect to the growing popularity of conversion between IFC and CityGML, potentially aiding others to avoid many of the errors that can occur in the process and establishing directions to set up a benchmark to assess the performance of the interoperability workflows.
dc.description.urihttp://doi.org/10.5194/isprs-annals-IV-4-W8-35-2019
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.typeConference Paper
dc.contributor.departmentARCHITECTURE
dc.contributor.departmentREAL ESTATE
dc.description.doi10.5194/isprs-annals-IV-4-W8-35-2019
dc.description.sourcetitleISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
dc.description.volumeIV-4/W8
dc.description.issue35-42
dc.published.statePublished
dc.grant.fundingagencyNRF
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