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Networked Knowledge and Complex Networks: An Engineering View
Lu, Jinhu1,2; Wen, Guanghui3; Lu, Ruqian2; Wang, Yong2; Zhang, Songmao2
2022-08-01
Source PublicationIEEE-CAA JOURNAL OF AUTOMATICA SINICA
ISSN2329-9266
Volume9Issue:8Pages:1366-1383
AbstractAlong 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.
KeywordComplex network knowledge graph networked knowledge neural network
DOI10.1109/JAS.2022.105737
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaAutomation & Control Systems
WOS SubjectAutomation & Control Systems
WOS IDWOS:000838825000006
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/61115
Collection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
Corresponding AuthorLu, Jinhu
Affiliation1.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
Recommended Citation
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.
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