Enhancing Cultural Heritage Data through Selective Crowdsourcing

被引:0
|
作者
Olivieri, Alex C. [1 ]
Shabani, Shaban [1 ]
Liu, Zhan [1 ]
Sokhn, Maria [1 ]
机构
[1] HES SO Valais Wallis, Inst Informat Syst, Data Semant Lab, Sierre, Switzerland
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Crowdsourcing, or asking for general participation to help contribute to shared goals, has become popular in the cultural heritage domain. However, it also brings new challenges to data quality management. In this paper, we describe a novel approach that used selective crowdsourcing to increase quality control and the number of participants when collecting cultural heritage-related data We tested our approach in scenarios using a mobile application for cultural heritage travellers. The results showed that the selective crowdsourcing approach can be applied well to complete information and resolve conflict in cultural heritage data.
引用
收藏
页码:61 / 65
页数:5
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