Networked Knowledge and Complex Networks: An Engineering View
文献类型：期刊论文
| 作者 | Lu, Jinhu1,2 ; Wen, Guanghui3; Lu, Ruqian2; Wang, Yong2; Zhang, Songmao2
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| 刊名 | IEEE-CAA JOURNAL OF AUTOMATICA SINICA
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 9期号:8页码:1366-1383 |
| 关键词 | Complex network knowledge graph networked knowledge neural network |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2022.105737 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000838825000006 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/61114]  |
| 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. |
入库方式： OAI收割
来源：数学与系统科学研究院
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