Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective

doi:10.1109/JAS.2022.105434

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective
	Jing Zhang
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2022
卷号	9 期号:5 页码:749-762
摘要	Big data have the characteristics of enormous volume, high velocity, diversity, value-sparsity, and uncertainty, which lead the knowledge learning from them full of challenges. With the emergence of crowdsourcing, versatile information can be obtained on-demand so that the wisdom of crowds is easily involved to facilitate the knowledge learning process. During the past thirteen years, researchers in the AI community made great efforts to remove the obstacles in the field of learning from crowds. This concentrated survey paper comprehensively reviews the technical progress in crowdsourcing learning from a systematic perspective that includes three dimensions of data, models, and learning processes. In addition to reviewing existing important work, the paper places a particular emphasis on providing some promising blueprints on each dimension as well as discussing the lessons learned from our past research work, which will light up the way for new researchers and encourage them to pursue new contributions.
关键词	Crowdsourcing data fusion learning from crowds learning paradigms learning with uncertainty
DOI	10.1109/JAS.2022.105434
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47542
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Jing Zhang. Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(5):749-762.
APA	Jing Zhang.(2022).Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective.IEEE/CAA Journal of Automatica Sinica,9(5),749-762.
MLA	Jing Zhang."Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective".IEEE/CAA Journal of Automatica Sinica 9.5(2022):749-762.

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