Research on Intelligent Question Answering Based on Knowledge Graph of Coalmine Occupation
Knowledge graph(KG)is a new generation of knowledge base used to represent the structural relationship between entities,which describes the logical relationship between things in the real world through the semantic network,and the intelligent question answering technology based on knowledge graph is also constantly developing.Knowledge graph based question answering(KBQA)is the combination technology of intelligent question answering and knowledge graph,which is a further analysis and utilization of structured knowledge.In this study,we construct the knowledge graph of coalmine occupation and then study the related KBQA technology and system.In terms of knowledge graph construction,the work specialty is defined,the key entity information of coalmine occupation is extracted by Bert-BiLSTM-CRF model,and the work graph is obtained by storing triplet knowledge data of work in graph database.In the intelligent question-and-answer session,the question template is designed,Bert model is used to realize the end-to-end question intent recognition and slot extraction,and Sentent-BERT is used to link the reference words of the question and the candidate entities of the knowledge graph,and then the question is transformed into a graph database query statement,and the answer is returned from the graph.The experimental results show that the proposed KBQA methodology performs well in several evaluation indicators,which can meet the requirements of knowledge question answering for coal mines,and make a beneficial exploration for the intelligent construction of coal mines.
万方数据
维普
