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

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Bibliographic Details
Main Authors: Di, Zhu, Hailian, Yin, Yidan, Xu
Format: Book
Language:English
Published: Springer 2023
Subjects:
KE
KG
Online Access:https://link.springer.com/article/10.1007/s41019-023-00209-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8339
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spelling oai:localhost:PNK-83392023-04-27T01:29:02Z A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled Di, Zhu Hailian, Yin Yidan, Xu KE KG CC BY 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. 2023-04-27T01:29:01Z 2023-04-27T01:29:01Z 2023 Book https://link.springer.com/article/10.1007/s41019-023-00209-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8339 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic KE
KG
spellingShingle KE
KG
Di, Zhu
Hailian, Yin
Yidan, Xu
A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
description CC BY
format Book
author Di, Zhu
Hailian, Yin
Yidan, Xu
author_facet Di, Zhu
Hailian, Yin
Yidan, Xu
author_sort Di, Zhu
title A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
title_short A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
title_full A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
title_fullStr A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
title_full_unstemmed A Survey of Advanced Information Fusion System: from Model-Driven to Knowledge-Enabled
title_sort survey of advanced information fusion system: from model-driven to knowledge-enabled
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s41019-023-00209-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8339
_version_ 1764358629710888960
score 8.881002

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