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[64] Construction safety ontology development and alignment with industry foundation classes (IFC)

Knowledge Graph / Semantic Infrastructure Construction Safety & Knowledge Management 2022

Paper Description extracted from PDF · intro excerpt · 128 words

(IFC) SUBMITTED: February 2021 REVISED: November 2021 PUBLISHED: January 2022 EDITOR: Robert Amor DOI: 10.36680/j.itcon.2022.005 Karim Farghaly, Lecturer, University College London; karim.farghaly@ucl.ac.uk Ranjith K. Soman, Research Associate, Imperial College London; ranjithks17@imperial.ac.uk William Collinge, Lecturer, The University of Manchester; william.collinge@manchester.ac.uk Mojgan Hadi Mosleh, Lecturer, The University of Manchester; mojgan.hadimosleh@manchester.ac.uk Patrick Manu, Reader, The University of Manchester; patrick.manu@manchester.ac.uk Clara Man Cheung, Senior Lecturer, The University of Manchester; clara.cheung@manchester.ac.uk SUMMARY: A pronounced gap often exists between expected and actual safety performance in the construction industry. The multifaceted causes of this performance gap are resulting from the misalignment between design assumptions and actual construction processes that take place on-site. In general, critical factors are rooted in the lack of interoperability around the building and work -environment information due to its heterogeneous nature.

AuthorsFarghaly, K.; Soman, R. K.; Collinge, W.; Mosleh, M.; Manu, P.; Cheung, C.
Year2022
VenueJournal of Information Technology in Construction (ITcon) 27, 94–108
DOI10.36680/j.itcon.2022.005
Source DatabaseBacktracking
Bridge-to-GNNCategory C
GNN ArchitectureKnowledge Graph Embedding (inferred from title)
Graph EncodingBIM Element Topology Graph (inferred from title)
AEC TaskSafety Management (inferred from title)
CohortPeak Adoption (2022)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkRevit / Dynamo, OWL / SPARQL (heuristic — verify)
Primary MetricAccuracy (heuristic — verify)
Primary Value75% (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
Reported metrics + valuesAccuracy: 75%
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

safety-km bim-classification (auto-suggested)

Enabled By / Precursors

None tracked

Extended By

[23] [28]

Infrastructure Dependencies

Revit / Dynamo (detected from PDF) RDF / OWL / SPARQL (detected from PDF)

Research Frontier Tags

safety-km bim-graph

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