Building Information Modelling (BIM) has changed the way in which buildings are conceived, planned and executed. Apart from their frequent use for as-planned buildings, BIM authoring tools have now been adopted for a number of years for digitising existing buildings as well, mostly by performing a ‘scanto-BIM’ process: the creation of a BIM model, primarily based on point clouds. However, some inherent characteristics of existing buildings are complicating such a process: uncertainties, geometric irregularities, classification of heritage building components, linking sources about the real-world asset and an interdisciplinarity that may go beyond traditional Architecture, Engineering and Construction (AEC) topics (e.g. heritage, Facility Management, sensor data and damage assessment).
| Authors | Werbrouck, J.; Pauwels, P.; Beetz, J.; Van De Walle, R. |
|---|---|
| Year | 2020 |
| Venue | Automation in Construction |
| DOI | 10.1016/j.autcon.2020.103286 |
| Source Database | Backtracking |
| Bridge-to-GNN | Category B |
| GNN Architecture | Knowledge Graph Embedding (inferred from title) |
| Graph Encoding | BIM Element Topology Graph (inferred from title) |
| AEC Task | Semantic Enrichment (inferred from title) |
| Cohort | Early Infrastructure (2020–2021) |
| Frameworks / libraries | RDF / OWL / SPARQL |
|---|---|
| Quality (heuristic, 6-flag) | 0/6 · 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