A novel knowledge graph construction method of coal mine safety equipment domain

With the continuous development of intelligent mine construction, researchers are applying knowledge graph technology to further realize the intellectualization of coal mine. However, in the research field of coal mine safety equipment, there are little organization and construction of relevant knowledge, resulting in fragmentation, redundancy and limited localization of knowledge in this field. Based on this, this paper constructs knowledge graph of coal mine safety equipment to expand knowledge construction in this field. Firstly, self-built CMSE-EntityRel dataset. Secondly, entity relationship joint extraction is carried out based on CasREL-Mine framework. Finally, we use the graph database Neo4j to store and visually display entity and relational knowledge triples. At this stage, we construct the knowledge graph of coal mine safety equipment field. The method adopted in this paper can effectively realize the knowledge construction and organization in the field of coal mine safety equipment, and provides data support for intelligent management level of coal mine safety production.