基于实体关系抽取的军事装备图谱构建OA北大核心CSTPCD

Because of the continuous advancement of information technology,it is difficult to utilize many military equipment databases effectively due to their incompact structures,which results in low efficiency and chaotic management.In view of the above,an entity relationship extraction method based on CRF(conditional random field)and syntax analysis tree is proposed.The construction method of military knowledge graph is optimized by the training of massive data,and the single algorithm extraction method is changed into a three element extraction method,so as to complete the construction of military equipment graph.The experimental results show that the accuracy of the method can reach 72%.After adding the confidence model,its accuracy is increased by 12.6%,and its comprehensive evaluation accuracy can reach 78.11%.This result has important practical value for the construction of knowledge graphs in the field of military equipment.