摘要
针对不断新增的海量军事知识难以被有效利用的问题,论文研究如何利用现有的军事知识图谱,对新增的军事知识进行有效语义融合和组织。从复杂语义特征关联切入,研究了面向信息抽取的在线和迁移学习机制,从而完成对军事大数据知识体系的演化技术进行研究,并提出相应的技术框架和研究方案。
In view of the problem that the increasing amount of military knowledge is difficult to be effectively utilized,this paper studies how to use the existing military knowledge graph to effectively integrate and organize the new military knowledge.Starting from the association of complex semantic features,this paper studies the online and migration learning mechanism for information extraction,completes the research on the evolution technology of military large data knowledge system,and puts forward the corresponding technical framework and research scheme.
作者
陈辞
CHEN Ci(No.1 Navy Force Representative Bureau in Dalian,Dalian 116000)
出处
《舰船电子工程》
2019年第6期22-27,共6页
Ship Electronic Engineering
关键词
军事大数据
知识图谱演化机制
知识深度挖掘
military big data
knowledge map evolution mechanism
knowledge deep mining
