Knowledge graphs are widely used in industry and studied within the academic community.
However, the models applied in the development of knowledge graphs vary. Analysing and …

The rapid development of information and communication technologies has enabled a value
co-creation paradigm for developing industrial products and services, where massive …

Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …

As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

A significant number of accidents occur each year at level crossings globally. Substantial
efforts are being made by different railway authorities and other stakeholders to prevent …

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 …

Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

Coal mine accident prevention is a key issue affecting the safety of coal production in China.
From accident analysis, it has been found that the interaction of unsafe acts of coal miners is …

Hazard and operability analysis (HAZOP) is a remarkable representative in industrial safety
engineering. However, a great storehouse of industrial safety knowledge (ISK) in HAZOP …

Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …