摘要
针对战场目标相关数据呈现的海量、异构、网络化分布、内涵丰富以及关联应用前景广阔等特征,利用动态本体的灵活组织特性,提出了基于动态本体的战场目标数据关联方法,支撑了不同场景下以战场目标为中心的信息挖掘分析。结合具体工程实践,描述了典型动态本体技术,并与超大本体(LO)与顶层本体(TO)2种生成方法进行了对比试验。试验结果表明,该方法可有效构建战场动态本体,具有可行性。
In view of the characteristics of battlefield target-related data,such as massive,heterogeneous,networked distribution,rich connotation and broad application prospect,a battlefield target data association method based on the dynamic ontology is proposed by using the flexible organization characteristics of dynamic ontology.Thus,it can support the information mining and analysis of battlefield targets in different scenarios.Combined with the practical engineering,the typical dynamic ontology technology are described,and a comparative test is carried out with the large ontology(LO)generation method and the top ontology(TO)generation method.Experimental results show that the method can effectively construct the battlefield dynamic ontology,and it is feasible.
作者
刘伟
翟崎
李子
李东敏
李彭伟
LIU Wei;ZHAI Qi;LI Zi;LI Dongmin;LI Pengwei(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210023,China;Construction and Development Research Institute,Research Academy of Armed Police Force,Beijing 100012,China;Unit 31001 of PLA,Beijing 100094,China)
出处
《指挥信息系统与技术》
2023年第4期51-56,共6页
Command Information System and Technology
关键词
战场目标
动态本体
信息关联分析
battlefield target
dynamic ontology
information correlation analysis
