Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph

Authors

Baokui Wang, National Defense University of PLA, Beijing 100091, China;
Wu Lin, National Defense University of PLA, Beijing 100091, China;
Xiaofeng Hu, National Defense University of PLA, Beijing 100091, China;
Xiaoyuan He, National Defense University of PLA, Beijing 100091, China;

Abstract

Abstract: Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge.

Recommended Citation

Wang, Baokui; Lin, Wu; Hu, Xiaofeng; and He, Xiaoyuan (2019) "Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph," Journal of System Simulation: Vol. 31: Iss. 11, Article 5.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0304
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/5

First Page

2228

Revised Date

2019-07-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0304

Last Page

2237

CLC

TP391.9

Recommended Citation

Wang Baokui, Wu Lin, Hu Xiaofeng, He Xiaoyuan. Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph[J]. Journal of System Simulation, 2019, 31(11): 2228-2237.

DOI

10.16182/j.issn1004731x.joss.19-FZ0304