Study On The Knowledge Graph Of Coal Mine Safety Domain Based On Ontology

In the coal mine safety domain,the safe production and management has always been a hot topic of research.Although the coal mine safety situation has improved after a series of policies adopted by the state in recent years,the accident rate and the total number of accidents are still higher than other major coal producing countries in the world,and the safety risks faced should not be underestimated.And due to the increase in information-based intelligent applications,the data generation rate in the current industry is accelerating,accumulating a large amount of data.These data are diverse in form and large in number,and traditional data management methods are no longer able to meet the requirements of data management.Ontology is a ”formal,ambiguous and detailed description of the shared concept system”,which not only can be used to effectively describe the mine scenario in a formal way,but also can be used to fully exploit the hidden information through reason the knowledge by Jena inference engine and custom rules.The knowledge graph is a structured semantic knowledge base,which can be used to make knowledge more shareable and reusable.Therefore,the combination of ontology and knowledge graph technology can more effectively analyze the connection between knowledge in the coal mine domain.In view of the above problems,this topic focuses on the mapping matching between ontology and knowledge graph.Based on the top-down knowledge graph construction theory,this topic proposes a method to construct the core knowledge graph of coal mine safety domain,and the method is applied in development of the coal mine safety monitoring and monitoring prototype system.Firstly,this topic combines the characteristics of coal mine data to propose an ontology construction method based on the seven-step method and the METHONTOLOGY method.And the ontology modeling tool named Protégé is used to construct the coal mine domain ontology to verify the feasibility of the method.Secondly,after analyzing the mapping matching mechanism between ontology and knowledge graph,the ontology data of coalmine domain is stored in Neo4 j graph database,which realizes the preliminary construction of core knowledge graph in coal mine domain.Finally,A coal mine safety monitoring and monitoring prototype system was designed and developed to realize the storage and management of knowledge.The in-depth study of ontology and knowledge graph technology provides a basic guarantee for coal mine safety production and management: The first one,the combination of the seven-step method and the METHONTOLOGY can effectively solve the problem of rapid changes in coal mine data.Next one,through the mapping and matching analysis of ontology and knowledge graph,the storage of ontology data to graph database is realized,which solves the problem that the traditional data management method can not meet the management demand of coal mine data.The last one,the combination of ontology and knowledge graph technology can not only enrich the knowledge display interface,facilitate users to quickly understand and master the mine information,but also through the indirect reasoning of mine information,can effectively mine the insecure in the coal mine production process and provide decision important decisions for the prevention and rescue of coal mine accidents.