Automatic Construction of Coal Mine Accident Ontology

Abstract

Due to the rapid growth of text data resources in coal mine accidents, the construction of coal mine accidents by means of manual construction has been unable to meet current needs. Taking the coal mine accident case text as the data source, the BP neural network based method is used to automatically extract the ontology concept. Then automatically extract the relationship between ontology concepts through hierarchical clustering and association rules. Finally, the Protégé ontology editor is used to add the concepts, relationships and examples of the ontology to obtain the coal mine accident ontology. By constructing the coal mine accident ontology by means of automatic construction, not only can a large amount of manpower and material resources be saved, but also the constructed body can be more comprehensive and effectively applied to coal mine safety warning.