HBIM Modeling from the Surface Mesh and Its Extended Capability of Knowledge Representation
Abstract
:1. Introduction
2. State of the Art
2.1. Scan-to-HBIM and Mesh-to-HBIM
2.2. HBIM and Ontology
3. Methodology
3.1. Study Area
3.2. HBIM Environment for Semantic Modeling and Knowledge Management
3.3. Conventional Scan-to-HBIM
3.4. Mesh-to-HBIM
3.5. HBIM with an Extended Capability of Knowledge Representation
4. Results and Discussion
4.1. Parametric/Semantic HBIM Models
4.2. HBIM and Ontology: Geometry and Semantics
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Aspects | Mesh | Scan-to-HBIM | Mesh-to-HBIM |
---|---|---|---|
Manual work | low | high | middle |
Time complexity depending on | Accuracy | Professional training | Computer performance |
Geometry | Surface | Volume | Volume |
Parameter | Non-parametric | Parametric | Non-parametric |
Semantic | Global and holistic | Local | Local |
Description | Non-attributes | Attributes | Attributes |
Relationship | No | Strict | Minimal |
LOD depending on | Point cloud | Manual drawing | Mesh structure |
Main limitation | Holistic surface | Time-consuming | Huge size of the file |
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Yang, X.; Lu, Y.-C.; Murtiyoso, A.; Koehl, M.; Grussenmeyer, P. HBIM Modeling from the Surface Mesh and Its Extended Capability of Knowledge Representation. ISPRS Int. J. Geo-Inf. 2019, 8, 301. https://doi.org/10.3390/ijgi8070301
Yang X, Lu Y-C, Murtiyoso A, Koehl M, Grussenmeyer P. HBIM Modeling from the Surface Mesh and Its Extended Capability of Knowledge Representation. ISPRS International Journal of Geo-Information. 2019; 8(7):301. https://doi.org/10.3390/ijgi8070301
Chicago/Turabian StyleYang, Xiucheng, Yi-Chou Lu, Arnadi Murtiyoso, Mathieu Koehl, and Pierre Grussenmeyer. 2019. "HBIM Modeling from the Surface Mesh and Its Extended Capability of Knowledge Representation" ISPRS International Journal of Geo-Information 8, no. 7: 301. https://doi.org/10.3390/ijgi8070301