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[29] Generalized Permutants and Graph GENEOs

EBSCO – Screened Seed Paper (General / Unclassified) 2023

Paper Description extracted from PDF · abstract · 150 words

Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital twins (DTs), artificial intelligence (AI), and Internet of Things (IoT) technologies into modular production systems. This fusion would imbue these systems with perception and decision-making capabilities, enabling autonomous operations. However, the efficacy of this approach critically hinges upon the ability to comprehend the production process and its variations, as well as the utilization of IoT and cognitive functionalities. Knowledge graphs (KGs) represent a type of graph database that organizes data into interconnected nodes (entities) and edges (relationships), thereby providing a visual and intuitive representation of intricate systems. This study seeks to investigate the potential fusion of KGs into CMP to bolster decision-making processes on the production line.

AuthorsAhmad, Faraz and Ferri, Massimo and Frosini, Patrizio
Year2023
VenueMachine Learning & Knowledge Extraction
DOI10.3390/make5040092
Source DatabaseEBSCO (Applied Science & Technology)
Bridge-to-GNNCategory C
GNN ArchitectureKnowledge Graph Embedding (heuristic — verify)
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortConsolidation (2023)

Extracted Methodology heuristic — verify before citing

Primary MetricAccuracy (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Benchmark: ✓ (heuristic — verify)

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

GNN architectures detectedKnowledge Graph Embedding (TransE/RotatE/DistMult)
Benchmark datasets referencedPubMed
Quality (heuristic, 6-flag)1/6 · rigor: Low
Code/Data: —Benchmark: ✓Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

None assigned

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

None

Research Frontier Tags

graph-ml-aec

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