A study of IndoorGML automatic generation using IFC - Focus on primal space

Sang Kwan Nam, Hanme Jang, Hye Young Kang, Hyun Sang Choi, Ji Yeong Lee

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


As the time spent in indoor space has increased, the demand for services targeting indoor spaces also continues to increase. To provide indoor spatial information services, the construction of indoor spatial information should be done first. In the study, a method of generation IndoorGML, which is the international standard data format for Indoor space, from existing BIM data. The characteristics of IFC objects were investigated, and objects that need to be converted to IndoorGML were selected and classified into objects that restrict the expression of Indoor space and internal passages. Using the proposed method, a part of data set provided by the BIMserver github and the IFC model of the 21st Century Building in University of Seoul were used to perform experiments to generate PrimalSpaceFeatures of IndoorGML. As a result of the experiments, the geometric information of IFC objects was represented completely as IndoorGML, and it was shown that NavigableBoundary, one of major features of PrimalSpaceFeatures in IndoorGML, was accurately generated. In the future, the proposed method will improve to generate various types of objects such as IfcStair, and additional method for automatically generating MultiLayeredGraph of IndoorGML using PrimalSpaceFeatures should be developed to be sure of completeness of IndoorGML.

Original languageEnglish
Pages (from-to)623-633
Number of pages11
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Issue number6
StatePublished - 2020


  • Automatic generation
  • IFC
  • Indoor
  • IndoorGML
  • Primal space


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