Open Access
Issue
E3S Web Conf.
Volume 362, 2022
BuildSim Nordic 2022
Article Number 04002
Number of page(s) 7
Section Developments in BIM and MEP
DOI https://doi.org/10.1051/e3sconf/202236204002
Published online 01 December 2022
  1. Balaji, B., A. Bhattacharya, G. Fierro, J. Gao, J. Gluck, D. Hong, A. Johansen, J. Koh, J. Ploennigs, Y. Agarwal, M. Berges, D. Culler, R. Gupta, M. B. Kjærgaard, M. Srivastava, and K. Whitehouse (2016). Brick: Towards a Unified Metadata Schema For Buildings. In BuildSys ’16: Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, pp. 41–50. [CrossRef] [Google Scholar]
  2. Bolpagni, M., A. Luigi, C. Ciribini, and S. M. Ventura (2015). Informative content validation is the key to success in a BIM-based project validation is the key. [Google Scholar]
  3. Ghannad, P., Y.-C. Lee, J. Dimyadi, and W. Solihin (2019). Automated BIM data validation integrating open-standard schema with visual programming language. Advanced Engineering Informatics 40(January), 14–28. [CrossRef] [Google Scholar]
  4. Hamdan, A. H. and R. J. Scherer (2020). Integration of BIM-related bridge information in an ontological knowledgebase. CEUR Workshop Proceedings 2636, 77–90. [Google Scholar]
  5. Kücükavci, A., M. Seidenschnur, and H. C. A. Pauwels, Pieter (2022). Proposing a Semantic Web Ontology to Support Capacity- and Size-Related Property Descriptions of Heating, Ventilation and Air Conditioning Components in The Design Phase of Buildings. [Google Scholar]
  6. Kukkonen, V., A. Küciikavci, M. Seidenschnur, M. H. Rasmussen, K. M. Smith, and C. A. Hviid (2022). An ontology to support flow system descriptions from design to operation of buildings. Automation in Construction 134(November 2020), 104067. [CrossRef] [Google Scholar]
  7. Lee, Y.-C., C.M. Eastman, and J.-K. Lee (2015). Validations for ensuring the interoperability of data exchange of a building information model. Automation in Construction 58, 176–195. [CrossRef] [Google Scholar]
  8. Lee, Y.-C., C.M. Eastman, and W. Solihin (2021). Rules and validation processes for interoperable BIM data exchange. Journal of Computational Design and Engineering 8(August 2020), 97–114. [Google Scholar]
  9. Lee, Y.-C., C.M. Eastman, W. Solihin, and R. See (2016). Modularized rule-based validation of a BIM model pertaining to model views. Automation in Construction 63, 1–11. [CrossRef] [Google Scholar]
  10. Pauwels, P. and W. Terkaj (2015). EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology. Automation in Construction 63, 100–133. [Google Scholar]
  11. Porsani, G. B., K. D. V. de Lersundi, A. S. O. Gutierrez, and C. F. Bandera (2021). Interoperability between building information modelling (Bim) and building energy model (bem). Applied Sciences (Switzerland) 11(5) 1–20. [Google Scholar]
  12. Rasmussen, M. H., M. Lefrancois, G. F. Schneider, and P. Pauwels (2021). BOT: The building topology ontology of the W3C linked building data group. Semantic Web 12(1), 143–161. [Google Scholar]
  13. Redmond, A., A. Hore, M. Alshawi, and R. West (2012). Exploring how information exchanges can be enhanced through Cloud BIM. Automation in Construction 24, 175–183. [CrossRef] [Google Scholar]
  14. Soman, R. K. (2019). Modelling construction scheduling constraints using shapes constraint language (SHACL). Proceedings of the 2019 European Conference on Computing in Construction 1(2006), 351–358. [Google Scholar]
  15. Soman, R. K., M. Molina-Solana, and J.K. Whyte (2020). Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction. Automation in Construction 120(August), 103369. [CrossRef] [Google Scholar]
  16. Stolk, S. and K. McGlinn (2020). Validation of IfcOWL datasets using SHACL. CEUR Workshop Proceedings 2636, 91–104. [Google Scholar]

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