An industrial dataspace for automotive supply chain: secure data sharing based on data association relationship

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100778 - 100778

Published: Jan. 1, 2025

Language: Английский

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Graph techniques for enhancing knowledge graph integration: A comprehensive study and applications

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 89

Published: Jan. 1, 2025

Language: Английский

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Knowledge-enhanced ontology-to-vector for automated ontology concept enrichment in BIM

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100836 - 100836

Published: March 1, 2025

Language: Английский

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STEP-based model recommendation method for exchanging and reusing digital twins

Journal of Industrial Information Integration, Journal Year: 2025, Volume and Issue: unknown, P. 100839 - 100839

Published: April 1, 2025

Language: Английский

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Knowledge graph validation by integrating LLMs and human-in-the-loop

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(5), P. 104145 - 104145

Published: April 9, 2025

Language: Английский

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Temporal knowledge graph fusion with neural ordinary differential equations for the predictive maintenance of electromechanical equipment

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113450 - 113450

Published: April 1, 2025

Language: Английский

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Collaborative optimization for multirobot manufacturing system reliability through integration of SysML simulation and maintenance knowledge graph

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 80, P. 749 - 775

Published: April 21, 2025

Language: Английский

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A Deep Learning–Based Causal Knowledge Extraction Method for Supporting the Development of Nuclear Power Plant Operator Knowledge Base

Nuclear Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: May 8, 2025

Language: Английский

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Data Spaces in Manufacturing and Supply Chains: A Review and Insights from European Initiatives

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(11), P. 5802 - 5802

Published: May 22, 2025

Data spaces are increasingly recognized as a key enabler of secure, sovereign, and interoperable data exchange across manufacturing supply chain networks. Despite growing institutional interest in Europe, academic research on this topic lacks consolidated perspective. This study addresses gap by combining systematic literature review with an analysis early insights from European initiatives to explore how being conceptualized implemented industrial contexts. The covers bibliometric trends thematic content the scientific literature, while also examining structure maturity ongoing projects. Results show recent surge scholarly interest, applications focusing primarily resilience sustainability. Practical progressing toward implementation, supported reference architectures like International Space Gaia-X. concludes outlining future priorities, including need for standardized design approaches greater support cross-sector collaboration.

Language: Английский

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Knowledge graph-based Bayesian network risk assessment model for hydrogen accidents

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 81, P. 927 - 941

Published: July 27, 2024

Language: Английский

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