A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled

Data Science and Engineering

Review/Survey Papers

Hao Wen¹  Bowen Zhang²  Yidan Xu²  Zhanzuo Yin²  Bohan Li²  Di Zhu²  Jiaqi Wu²  Yaqi Cheng²  Ziqiang Yu³  Hailian Yin⁴ 

[1] College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China;College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, 211106, Nanjing, China;College of Computer and Control Engineering, Yantai University, 264005, Yantai, Shandong, China;Ministry of Industry and Information Technology Key Laboratory of Advanced Technology for Small and Medium UAVs, Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China;

关键词: System engineering;    Knowledge engineering;    Knowledge graph;    Model-based system engineering;    Information system;   

DOI  :  10.1007/s41019-023-00209-8

 received in 2022-09-27, accepted in 2023-03-20,  发布年份 2023

来源: Springer

【 摘 要 】

Advanced knowledge engineering (KE), represented by knowledge graph (KG), drives the development of various fields and engineering technologies and provides various knowledge fusion and knowledge empowerment interfaces. At the same time, advanced system engineering (SE) takes model-based system engineering (MBSE) as the core to realize formal modeling and process analysis of the whole system. The two complement each other and are the key technologies for the transition from 2.0 to 3.0 in the era of artificial intelligence and the transition from perceptual intelligence to cognitive intelligence. This survey summarizes an advanced information fusion system, from model-driven to knowledge-enabled. Firstly, the concept, representative methods, key technologies and application fields of model-driven system engineering are introduced. Then, it introduces the concept of knowledge-driven knowledge engineering, summarizes the architecture and construction methods of advanced knowledge engineering and summarizes the application fields. Finally, the combination of advanced information fusion systems, development opportunities and challenges are discussed.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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