Research On Construction Of Coal Mine Accident Ontology Knowledge Base Based On Network Resources

Coal mining has always been a high risk industry in our country.Although the form of coal mine safety has improved in recent years,the safety management of coal mine still needs to be strengthened.To improve the level of coal mine safety management,eliminate loopholes in management and avoid or reduce the occurrence of coal mine accidents,the management and reuse of coal mine accident knowledge is one of the most important guarantees.With the development of coal mine information,coal mine enterprises have accumulated a large number of coal mine accident data resources,and these data resources have not been well utilized.As a knowledge organization model,ontology can organize and express these data resources well,and plays an important role in sharing and reusing coal mine accident knowledge.From the perspective of knowledge management,the ontology theory is introduced into coal mine accident management,and a coal mine accident ontology knowledge base is constructed to provide data support for coal mine accident management,so as to improve the level of coal mine safety management to a certain extent.First,on the basis of literature research,the present situation of the research and application of ontology construction and knowledge base in the field of coal mine safety is emphatically analyzed,and the inadequacies of current coal mine safety accident research are pointed out.Then,it proposes to introduce the ontology theory into the knowledge management of coal mine safety accidents and construct the coal mine safety accident ontology knowledge base.This paper studies ontology-related theories from ontology concepts,ontology description language and development tools,compares and analyzes the differences and relations between knowledge bases,databases and ontology,and expounds the construction technology of the knowledge base.Then,through the analysis of the coal mine accident knowledge,the coal mine accidents knowledge is abstracted into a six-tuple from the perspective of the accident causation mechanism.The ontology model of coal mine accident is defined by combining the ontology modeling metalinguistic.Based on this,the knowledge base model and the construction method are designed,and the process of constructing the coal mine accident ontology knowledge base is elaborated in two aspects:knowledge acquisition and knowledge representation.Afterwards,using web text data as research object,the web crawler was designed to acquire coal mine accident data resources,and the coal mine accident knowledge was extracted from the text data using the hybrid method.Firstly,word segmentation and part-of-speech tagging are used to extract the domain term rule templates,and candidate domain terms are extracted using rule-based matching.Then,the mutual information and information entropy method filters candidate terminology terms and achieves knowledge acquisition of coal mine accident cases.Finally,on the basis of above research,through the definition of ontology classes and class hierarchies,object attribute,data attribute and added to construct the coal mine accident case ontology,based in knowledge acquisition,rules of custom rules on the formalization of knowledge rules using SWRL and Jena rule language,so as to form the rule base then,construct the ontology knowledge base.Using the Protege software and its plug-ins to achieve the visualization and query of the coal mine accident ontology.The inference strategy of "Drools+Jena" is used to infer the knowledge and the tacit knowledge and new knowledge in the ontology knowledge base are excavated so as to realize the basic application of the coal mine accident ontology knowledge base.Through research,this paper builds the coal mine accident ontology knowledge base based on the coal mine accident knowledge analysis and knowledge acquisition,and analyzes the reasoning application of the constructed ontology knowledge base,providing a foundation for more intelligent knowledge services for coal mine accident management and is of great significance for strengthening coal mine safety management.