Tactical mission event logic graph construction for Network-Centric Warfare

被引:7
作者
Li, Hui [1 ]
Yan, Guoyu [2 ]
Zhao, Xin [3 ]
Zhang, Jie [1 ]
Lyu, Ming [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Beijing Inst Comp Technol & Applicat, Beijing 100036, Peoples R China
[3] 28th Res Inst China Elect Technol Grp Corp, Sci & Technol Informat Syst Engn Lab, Nanjing 210000, Peoples R China
关键词
Network-Centric Warfare; Military internet of things; Event logic graph; Hierarchical task network; Granger causality model;
D O I
10.1016/j.aej.2022.02.055
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Constructing a Tactical Mission Event Logic Graph (TMELG) can assist military staff to analyze the composition and evolution process of tactical missions. We can construct Military Internet of Things (MIoT) applications based on the TMELG to assist military staff to make planning and study tactical missions in the Network-Centric Warfare situation. In this paper, we proposed a representation framework for tactical mission events, based on the Simple Event Model (SEM), to present and construct the TMELG. First of all, sub-mission events and event elements are extracted from military texts with an invented Two-Stage Event Extraction (TSEE) method. Secondly, the Hierarchical Task Network (HTN) was applied to decompose a tactical mission into sub-missions, which were further decomposed into atomic missions, then basic relations were established for sub-missions. Finally, we exploited the explicit causality among sub-mission events, and the implicit causality between atomic mission events and military resources with the Granger Causality Model (GCM). With respect to automatic extraction of sub-mission events and event elements from military texts, the experimental results showed that our TSEE method outperforms the listed methods. The successful application of TMELG to a joint landing operation case verifies the feasibility of our construction method proposed in this paper. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:9161 / 9173
页数:13
相关论文
共 24 条
[1]  
Chen J., 2018, FORMAL DESCRIPTION B
[2]  
Cheng K., 2012, IEEE INFOCOM SER, V34, P15
[3]  
Chinchor N., 1998, P 7 MESSAGE UNDERSTA
[4]   Bringing Transparency Design into Practice [J].
Eiband, Malin ;
Schneider, Hanna ;
Bilandzic, Mark ;
Fazekas-Con, Julian ;
Haug, Mareike ;
Hussmann, Heinrich .
IUI 2018: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, 2018, :211-223
[5]   INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS AND CROSS-SPECTRAL METHODS [J].
GRANGER, CWJ .
ECONOMETRICA, 1969, 37 (03) :424-438
[6]  
Guo Y., 2019, INT C MACHINE LEARNI, P1607
[7]  
Hage W., 2011, WATER AIR SOIL POLL
[8]  
Huang S., 2008, AUTOMATIC CONTENT EX
[9]  
Jia M.Y., 2009, WATER AIR SOIL POLL, P70
[10]   WarSampo knowledge graph: Finland in the Second World War as Linked Open Data [J].
Koho, Mikko ;
Ikkala, Esko ;
Leskinen, Petri ;
Tamper, Minna ;
Tuominen, Jouni ;
Hyvonen, Eero .
SEMANTIC WEB, 2021, 12 (02) :265-278