Networked Knowledge and Complex Networks: An Engineering View

doi:10.1109/JAS.2022.105737

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	Networked Knowledge and Complex Networks: An Engineering View
	Lu, Jinhu1,2 ; Wen, Guanghui 3; Lu, Ruqian2 ; Wang, Yong2 ; Zhang, Songmao2
	2022-08-01
发表期刊	IEEE-CAA JOURNAL OF AUTOMATICA SINICA
ISSN	2329-9266
卷号	9 期号:8 页码:1366-1383
摘要	Along with the development of information technologies such as mobile Internet, information acquisition technology, cloud computing and big data technology, the traditional knowledge engineering and knowledge-based software engineering have undergone fundamental changes where the network plays an increasingly important role. Within this context, it is required to develop new methodologies as well as technical tools for network-based knowledge representation, knowledge services and knowledge engineering. Obviously, the term "network" has different meanings in different scenarios. Meanwhile, some breakthroughs in several bottleneck problems of complex networks promote the developments of the new methodologies and technical tools for network-based knowledge representation, knowledge services and knowledge engineering. This paper first reviews some recent advances on complex networks, and then, in conjunction with knowledge graph, proposes a framework of networked knowledge which models knowledge and its relationships with the perspective of complex networks. For the unique advantages of deep learning in acquiring and processing knowledge, this paper reviews its development and emphasizes the role that it played in the development of knowledge engineering. Finally, some challenges and further trends are discussed.
关键词	Complex network knowledge graph networked knowledge neural network
DOI	10.1109/JAS.2022.105737
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[62073079] ; National Natural Science Foundation of China[62088101] ; National Natural Science Foundation of China[12025107] ; National Natural Science Foundation of China[11871463] ; National Natural Science Foundation of China[11688101]
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000838825000006
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/61115
专题	系统科学研究所数学所应用数学研究所计算数学与科学工程计算研究所
通讯作者	Lu, Jinhu
作者单位	1.Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Southeast Univ, Sch Math, Dept Syst Sci, Nanjing 211189, Peoples R China
推荐引用方式 GB/T 7714	Lu, Jinhu,Wen, Guanghui,Lu, Ruqian,et al. Networked Knowledge and Complex Networks: An Engineering View[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2022,9(8):1366-1383.
APA	Lu, Jinhu,Wen, Guanghui,Lu, Ruqian,Wang, Yong,&Zhang, Songmao.(2022).Networked Knowledge and Complex Networks: An Engineering View.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,9(8),1366-1383.
MLA	Lu, Jinhu,et al."Networked Knowledge and Complex Networks: An Engineering View".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 9.8(2022):1366-1383.