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[95] Reasoning in Common Data Environments Re-thinking CDEs to enhance collaboration in BIM processes

Seed Paper BIM Classification & Semantic Enrichment 2020

Paper Description extracted from PDF · intro excerpt · 143 words

Civil, Construction and Environmental Engineering 1,3,4{davide.simeone|ugomaria.coraglia|antonio.fioravanti}@uniroma1.it 2stefanocursi@hotmail.it In BIM processes, the concept of Common Data Environment - CDE - has often been depicted as a key element for successful collaboration and information sharing among different actors but, in current practice, acts as a mere documentation repository ineffective for true collaborative purposes. Therefore, the idea of CDE seems to be overrated on the one hand and unexploited on the other , while effective collaboration is still far from being decisively supported. To overcome this lack, the present research focuses on the definition of a new generation of CDEs, enhanced with an information level for knowledge integration provided by different information carriers such as models and datasets. The paper discusses its development through a graph database platform and dedicated methodologies for data retrieval and query, to verify coherence and consistency of information among different models.

AuthorsDavide Simeone and Stefano Cursi and Ugo Maria Coraglia and Antonio Fioravanti
Year2020
VenueProceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
DOI10.52842/CONF.ECAADE.2020.2.499
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingBIM Element Topology Graph (inferred from title)
AEC TaskNot yet extracted from PDF
CohortEarly Infrastructure (2020–2021)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkRevit / Dynamo, Neo4j, OWL / SPARQL (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Baseline: ✓ (heuristic — verify)

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

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Frameworks / librariesRevit / Dynamo · Neo4j / Cypher · RDF / OWL / SPARQL
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

bim-classification (auto-suggested)

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

BIM (auto-suggested) Revit / Dynamo (detected from PDF) Neo4j / Cypher (detected from PDF) RDF / OWL / SPARQL (detected from PDF)

Research Frontier Tags

bim-graph

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