An ATM Knowledge Graph-Based Method of Dynamic . . .
495
Fig. 5. A depth-first search result of relative path between Shanghai Pudong international airport and flight CSN3173.
find many different paths between them and know how they are related which
is difficult to figure out by traditional methods.
5 Conclusion
This paper proposes an ATM knowledge graph-based method to reorganize the
information flexibly and manage the fusion process dynamically. After that, a
BFS- and DFS-based correlation analysis method is designed to find deeper
correlation and improve the searching efficiency. Experimental results show that
the proposed method can get all related feature instances on breadth and get
relative path on depth with high efficiency and flexibility.
References
1. Zhao W (2017) The opportunities, challenges and obligations in internationalization of China civil aviation. Civil Aviat Manag 09:6–11
2. Yan Y, Cao G (2018) Operational concepts and key technologies of next generation
air traffic management system. Command Inf Syst Technol 9(3):8–17
3. Dong N (2013) Current situation, cause of flight delays and governance path of
China’s civil aviation. J Beijing Univ Aeronaut Astronaut (Soc Sci Ed) 26(06):25–
32
495
Fig. 5. A depth-first search result of relative path between Shanghai Pudong international airport and flight CSN3173.
find many different paths between them and know how they are related which
is difficult to figure out by traditional methods.
5 Conclusion
This paper proposes an ATM knowledge graph-based method to reorganize the
information flexibly and manage the fusion process dynamically. After that, a
BFS- and DFS-based correlation analysis method is designed to find deeper
correlation and improve the searching efficiency. Experimental results show that
the proposed method can get all related feature instances on breadth and get
relative path on depth with high efficiency and flexibility.
References
1. Zhao W (2017) The opportunities, challenges and obligations in internationalization of China civil aviation. Civil Aviat Manag 09:6–11
2. Yan Y, Cao G (2018) Operational concepts and key technologies of next generation
air traffic management system. Command Inf Syst Technol 9(3):8–17
3. Dong N (2013) Current situation, cause of flight delays and governance path of
China’s civil aviation. J Beijing Univ Aeronaut Astronaut (Soc Sci Ed) 26(06):25–
32