Defining a knowledge graph development process through a systematic review

G Tamašauskaitė, P Groth - ACM Transactions on Software Engineering …, 2023 - dl.acm.org
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 …

Knowledge graph-based manufacturing process planning: A state-of-the-art review

Y Xiao, S Zheng, J Shi, X Du, J Hong - Journal of Manufacturing Systems, 2023 - Elsevier
Computer-aided process planning is the bridge between computer-aided design and
computer-aided manufacturing. With the advent of the intelligent manufacturing era, process …

Using text mining to establish knowledge graph from accident/incident reports in risk assessment

C Liu, S Yang - Expert Systems with Applications, 2022 - Elsevier
To clarify the risk factors and propagation characteristics affecting railway safety, we learn
from historical reports to build a connected network of hazards and accidents, forming a …

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 …

Application of natural language processing and machine learning in prediction of deviations in the HAZOP study worksheet: A comparison of classifiers

A Ekramipooya, M Boroushaki, D Rashtchian - Process Safety and …, 2023 - Elsevier
Abstract The HAZOP (Hazard and Operability) study is one of the most well-known
approaches in process hazard analysis. The HAZOP study is a systematic procedure a …

Investigating occupational and operational industrial safety data through Business Intelligence and Machine Learning

R Patriarca, G Di Gravio, G Antonioni… - Journal of Loss …, 2021 - Elsevier
Learning from previous events represents a crucial element to improve the design and
operations of industrial processes, especially considering the many variables characterizing …

Construction of petrochemical knowledge graph based on deep learning

Y Zhao, B Zhang, D Gao - Journal of loss prevention in the process …, 2022 - Elsevier
Hazard and operability analysis (HAZOP) is a safety evaluation method that is vital in the
chemical process. HAZOP analysis uses the form of “brainstorming” and “counterfactual …

Automatic frequency estimation of contributory factors for confined space accidents

B Wang, J Zhao - Process Safety and Environmental Protection, 2022 - Elsevier
Although the dangers of working in confined spaces have been known for many years, fatal
accidents related to working in confined spaces still frequently occur. Considerable research …

User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model

Q Zhang, Z Ma, P Zhang, E Jenelius, X Ma, Y Wen - Applied Intelligence, 2023 - Springer
Understanding human mobility in urban areas is important for transportation, from planning
to operations and online control. This paper proposes the concept of user-station attention …

Knowledge graph for identifying geological disasters by integrating computer vision with ontology

Q Qiu, Z Xie, D Zhang, K Ma, L Tao, Y Tan… - Journal of Earth …, 2023 - Springer
The occurrence of geological disasters can have a large impact on urban safety. Protecting
people's safety is the most important concern when disasters occur. Safety improvement …