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[61] BOT: Building Topology Ontology

Knowledge Graph / Semantic Infrastructure Topology & Graph Data Infrastructure 2020

Paper Description extracted from PDF · abstract · 133 words

Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models.

AuthorsRasmussen, M. H.; Lefrançois, M.; Schneider, G. F.; Pauwels, P.
Year2020
VenueSemantic Web Journal
DOI10.3233/sw-200385 (auto-fetched · CrossRef)
Source DatabaseBacktracking
Bridge-to-GNNCategory C
GNN ArchitectureKnowledge Graph Embedding (inferred from title)
Graph EncodingKnowledge Graph / Ontological Network (inferred from title)
AEC TaskSemantic Enrichment (inferred from title)
CohortEarly Infrastructure (2020–2021)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkRevit / Dynamo, OWL / SPARQL (heuristic — verify)
Key Findingthe Building Topology Ontology (BOT) as a core vocabulary to this approach (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Code/Data: ✓ (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Frameworks / librariesRevit / Dynamo · RDF / OWL / SPARQL · Stardog / GraphDB
Benchmark datasets referencedCOLLAB · CityGML
Code repositories found in texthttps://github.com/w3c-lbd-cg/bot/issues · https://github.com/w3c-lbd-cg/bot/commits/master · https://github.com/jyrkioraskari/IFCtoLBD · https://github.com/MadsHolten/revit-bot-exporter · https://github.com/MadsHolten/forge-sparql
Quality (heuristic, 6-flag)2/6 · rigor: Low
Code/Data: ✓Benchmark: ✓Baseline: —CV/Split: —Ablation: —Reproducible: —

Connected Papers Verification bibliometric (data/connected_papers_matches.json)

Seed of .bib export → verified neighboursThis paper was queried as a Connected Papers seed (41 entries scanned). In-corpus neighbours verified by the bibliometric ranking:

[52] 2025 · Wu · Construction and application of knowledge graph for const…

Lineage Families

topology-infrastructure energy-digital-twin bim-gis-integration

Enabled By / Precursors

None tracked

Extended By

[2] [43] [65] [68]

Infrastructure Dependencies

BOT (Building Topology Ontology) Revit / Dynamo (detected from PDF) RDF / OWL / SPARQL (detected from PDF) Stardog / GraphDB (detected from PDF)

Research Frontier Tags

topology

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026