A Novel Method for Constructing Knowledge Graph of Railway Safety Risk
Ying Wang, Youwei Wang, Yangdong Ye · 2022
Accurately and quickly constructing a high-quality knowledge graph of railway safety is an important challenge in the field of knowledge engineering. This paper adopts the "four-step method" to construct an accurate and efficient knowledge graph in the field of railway safety risk, including domain ontology construction, crowdsourcing semi-automatic semantic annotation, external data completion and knowledge acquisition. Then the sub-graph of public works safety risk is analyzed, and the application is discussed. Experiments show that the "four-step method" can quickly and accurately acquire knowledge in the field of railway safety, providing a powerful tool for integrating multi-source and heterogeneous railway safety risk knowledge, and making the use of railway safety risk-related information resources more convenient.