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[42] Knowledge-based virtual outdoor weather event simulator using unity 3D

EBSCO – Screened Seed Paper (General / Unclassified) 2022

Paper Description extracted from PDF · abstract · 150 words

During the past two decades, 3D simulation models have gained importance in the development of software solutions that aim to mimic real-world events and phenomena with increasing levels of accuracy and detail. In this context, knowledge representation and processing have recently shown a significant contribution to the simulation modeling domain, where knowledge graphs have been used in different fields to build knowledge representations for multiple purposes. In this paper, we introduce VOWES, a Virtual Outdoor Weather Event Simulator to replicate and measure outdoor weather events in vivid 3D visualizations. We design and implement an integrated knowledge graph (KG) representation for VOWES, by creating two constituent KGs: (i) Weather KG describing weather data and events, and (ii) Simulator KG describing 3D simulation components and properties, and connecting them with the (iii) Semantic Sensor Network (SSN) KG to form an integrated structure serving as the knowledge backbone of the VOWES simulation environment.

AuthorsNoueihed, Hamza and Harb, Heba and Tekli, Joe
Year2022
VenueJournal of Supercomputing
DOI10.1007/s11227-021-04212-6
Source DatabaseEBSCO (Academic Search Ultimate)
Bridge-to-GNNCategory C
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskKnowledge Graph Construction (inferred from title)
CohortPeak Adoption (2022)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkOWL / SPARQL (heuristic — verify)
Primary MetricAccuracy (heuristic — verify)
Primary Value83% (heuristic — verify)
Key FindingVOWES, a Virtual Outdoor Weather Event Simulator to replicate and measure outdoor weather events in vivid 3D visualizations (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 / librariesRDF / OWL / SPARQL
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Connected Papers Verification bibliometric (data/connected_papers_matches.json)

Bibliometrically related to other seedsThis paper appeared in the Connected Papers neighbourhood of these corpus seeds:

[11] 2025 · Alymani · A graph-based computational tool for retrieving architect…

Lineage Families

None assigned

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

RDF / OWL / SPARQL (detected from PDF)

Research Frontier Tags

graph-ml-aec

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