Many data exchange standards for 3D spatial data applications exist, ranging from the general Geography Markup Language (GML) underpinning CityGML to specific models for business application domains, such as BuildingSMART Industry Foundation Classes (BIM/IFC). There are a number of different approaches to modelling 3D objects, and in general the geometry aspects of these can be readily understood in the context of the visualisation needs of different applications. The topology, or relationships between elements of these objects, on the other hand is either not directly supported by such geometry models or implemented in different ways by different standards. We discuss limitations of existing standards for describing topological relationships in particular. In some cases topology information is embedded in geometry objects using identifiers for vertices, edges and faces, but in general there is scope to develop a standardised model for describing alternatives for topology and 3D geometry representations.
| Authors | Atkinson, R. A. and Hunter, A. and Car, N. J. and Purss, M. B. J. and Cochrane, B. |
|---|---|
| Year | 2022 |
| Venue | International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences |
| DOI | 10.5194/isprs-archives-xlviii-4-w4-2022-13-2022 |
| Source Database | EBSCO (Applied Science & Technology) |
| Bridge-to-GNN | Category Borderline |
| GNN Architecture | Not yet extracted from PDF |
| Graph Encoding | Not yet extracted from PDF |
| AEC Task | Not yet extracted from PDF |
| Cohort | Peak Adoption (2022) |
| Implementation Framework | OWL / SPARQL (heuristic — verify) |
|---|---|
| Key Finding | the argument that a profile of this comprehensive model be defined for the limited set of such representation options required for Smart Cities and other similar applications (heuristic — verify) |
| Quality Assessment | 2/6 · rigor: Low · Code/Data: ✓Baseline: ✓ (heuristic — verify) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Frameworks / libraries | AutoCAD · RDF / OWL / SPARQL |
| Benchmark datasets referenced | CityGML |
| Code repositories found in text | https://github.com/topojson/topojson · https://github.com/opengeospatial/ogc-geosparql/ |
| Quality (heuristic, 6-flag) | 2/6 · rigor: Low Code/Data: ✓Benchmark: ✓Baseline: —CV/Split: —Ablation: —Reproducible: — |
Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026