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

被引：1
|
作者：
Zhu, Di [1 ]
Yin, Hailian [2 ]
Xu, Yidan [1 ]
Wu, Jiaqi [1 ]
Zhang, Bowen [1 ]
Cheng, Yaqi [1 ]
Yin, Zhanzuo [1 ]
Yu, Ziqiang [3 ]
Wen, Hao [4 ]
Li, Bohan [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing 211106, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Key Lab Adv Technol Small & Medium UAVs, Minist Ind & Informat Technol, Nanjing 210016, Peoples R China
[3] Yantai Univ, Coll Comp & Control Engn, Yantai 264005, Shandong, Peoples R China
[4] Nanjing Univ Aeronaut & Astronaut, Coll Aerosp Engn, Nanjing 210016, Peoples R China
来源：
DATA SCIENCE AND ENGINEERING | 2023年 / 8卷 / 02期
基金：
中国国家自然科学基金;
关键词：
System engineering; Knowledge engineering; Knowledge graph; Model-based system engineering; Information system; DIGITAL TWIN; NEURAL-NETWORK; ONTOLOGY; FUTURE;
D O I：
10.1007/s41019-023-00209-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：85 / 97
页数：13
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