Abstract
AbstractAdvanced 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.
Funder
the National Key R &D Program of China under Grant
National Natural Science Foundation of China
14th Five-Year Plan”Civil Aerospace Pre-research Project of China
the Fund of Prospective Layout of Scientific Research for NUAA(Nanjing University of Aeronautics and Astronautics
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computational Mechanics
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