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Challenges in Data Crowdsourcing
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DOI：10.1109/TKDE.2016.2518669.png)
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Abstract
En 中文
Crowdsourcing refers to solving large problems by involving human workers that solve component sub-problems or tasks. In data crowdsourcing, the problem involves data acquisition, management, and analysis. In this paper, we provide an overview of data crowdsourcing, giving examples of problems that the authors have tackled, and presenting the key design steps involved in implementing a crowdsourced solution. We also discuss some of the open challenges that remain to be solved.
Keywords:
Data crowdsourcing
data augmenting
data curation
data processing
crowdsourcing space
crowdsourcing design
crowdsourcing workflow
worker management
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