Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements

X Wang, N El-Gohary - Automation in Construction, 2023 - Elsevier
Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

[HTML][HTML] Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images

X Liu, Y Zhang, H Zou, F Wang, X Cheng, W Wu… - International Journal of …, 2023 - Elsevier
Marine oil spills can cause severe damage to the marine environment and biological
resources. Using satellite remote sensing technology is one of the best ways to monitor the …

A BN-based risk assessment model of natural gas pipelines integrating knowledge graph and DEMATEL

Y Bai, J Wu, Q Ren, Y Jiang, J Cai - Process Safety and Environmental …, 2023 - Elsevier
As one of the most essential process facilities, the natural gas pipeline may be affected by
various hazards and result in frequent accidents. Although Bayesian Network (BN) and other …

[HTML][HTML] The potential of a data centred approach & knowledge graph data representation in chemical safety and drug design

A Pavel, LA Saarimäki, L Möbus, A Federico… - Computational and …, 2022 - Elsevier
Big Data pervades nearly all areas of life sciences, yet the analysis of large integrated data
sets remains a major challenge. Moreover, the field of life sciences is highly fragmented and …

A methodology to assess the interrelationships between contributory factors to maritime transport accidents of dangerous goods in China

L Ma, X Ma, H Lan, Y Liu, W Deng - Ocean Engineering, 2022 - Elsevier
A comprehensive risk analysis methodology is proposed in the present study to evaluate the
contributory factors and their hierarchical interrelationships involved in maritime transport …

Building a knowledge graph for operational hazard management of utility tunnels

FL Peng, YK Qiao, C Yang - Expert Systems with Applications, 2023 - Elsevier
The operational hazard management of the utility tunnel infrastructure is crucial for
sustainable and resilient urban development. It not only involves various domain expertise …

[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects

Y Wan, Y Liu, Z Chen, C Chen, X Li, F Hu… - Journal of Manufacturing …, 2024 - Elsevier
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

A novel fuzzy knowledge graph pairs approach in decision making

CK Long, P Van Hai, TM Tuan, LTH Lan… - Multimedia Tools and …, 2022 - Springer
Abstract Fuzzy Knowledge Graph (FKG) has recently been emerging as one of the key
techniques for supporting classification and decision-making problems. FKG is a novel …

Construction and application of knowledge graph for construction accidents based on deep learning

W Wu, C Wen, Q Yuan, Q Chen, Y Cao - … construction and architectural …, 2023 - emerald.com
Purpose Learning from safety accidents and sharing safety knowledge has become an
important part of accident prevention and improving construction safety management …

A management knowledge graph approach for critical infrastructure protection: Ontology design, information extraction and relation prediction

J Chen, Y Lu, Y Zhang, F Huang, J Qin - International Journal of Critical …, 2023 - Elsevier
Critical Infrastructures (CI) underpin the basic functioning of society and the economy.
Proper governance of CI security management remains a crucial challenge. This study aims …