Conversion of Industry Foundation Classes (IFC) building models into CityGML city models is one of the operational scenarios for BIM–GIS integration, with a variety of applica tions producing and consuming data on either side. Given the in-depth cross-domain knowledge required to specify such conversions, the heterogeneity of the IFC input data and the use cases for the resulting CityGML, flexible and configurable solutions are needed that make conversion details accessible to domain specialists. Graph transforma tion as a conversion method fulfils these requirements. We propose to extend the modularity given by single transfor mation rules at a more coarse-grained level and identify four layers with modules of associated rules. We describe a self-contained set of rules across these modules and dem onstrate its application to a range of building models.
| Authors | Tauscher, Helga and Lim, Joie and Stouffs, Rudi |
|---|---|
| Year | 2021 |
| Venue | Transactions in GIS |
| DOI | 10.1111/tgis.12723 |
| Source Database | EBSCO (Academic Search Ultimate) |
| Bridge-to-GNN | Category B |
| GNN Architecture | Not yet extracted from PDF |
| Graph Encoding | BIM Element Topology Graph (inferred from title) |
| AEC Task | Not yet extracted from PDF |
| Cohort | Early Infrastructure (2020–2021) |
| Implementation Framework | Revit / Dynamo, Neo4j (heuristic — verify) |
|---|---|
| Primary Metric | Recall (heuristic — verify) |
| Key Finding | to extend the modularity given by single transfor mation rules at a more coarse-grained level and identify four layers with modules of associated rules (heuristic — verify) |
| Quality Assessment | 2/6 · rigor: Low · Code/Data: ✓Baseline: ✓ (heuristic — verify) |
| GNN architectures detected | Knowledge Graph Embedding (TransE/RotatE/DistMult) |
|---|---|
| Frameworks / libraries | Revit / Dynamo · IFC OpenShell / IfcOpenShell · Neo4j / Cypher |
| Benchmark datasets referenced | CityGML |
| 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