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 | |
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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. [CrossRef] [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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. [CrossRef] [Google Scholar]
- 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]
- Stolk, S. and K. McGlinn (2020). Validation of IfcOWL datasets using SHACL. CEUR Workshop Proceedings 2636, 91–104. [Google Scholar]
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