现代电子技术2024，Vol.47Issue(15)：163-168,6.DOI:10.16652/j.issn.1004-373x.2024.15.027
基于实体关系抽取的军事装备图谱构建
Military equipment knowledge graph construction based on entity relationship extraction
摘要
Abstract
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.关键词
军事装备/关系抽取/知识图谱/数据库结构/置信模型/三元数据提取Key words
military equipment/relationship extraction/knowledge graph/database structure/confidence model/three element data extraction分类
信息技术与安全科学引用本文复制引用
王依科,吴振乾..基于实体关系抽取的军事装备图谱构建[J].现代电子技术,2024,47(15):163-168,6.基金项目
国家自然科学基金资助项目(U21A20488) （U21A20488）
