TY  - CONF
T1  - Enhancing Cultural Heritage Information through Selective Crowdsourcing
A1  - Olivieri, Alex Carmine
A1  - Shabani, Shaban
A1  - Liu, Zhan
A1  - Maria, Sokhn
TI  - 9th IEEE International Conference on Advanced Computer Science and Information Systems
Y1  - 2017
CY  - Jakarta -  Indonesia
M2  - doi: https://doi.org/10.1109/ICACSIS.2017.8355013
KW  - crowdsourcing
KW  - Cultural differences
KW  - Data Models
KW  - Distributed databases
KW  - Mobile applications
KW  - semantic web
KW  - Task analysis
N2  - 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.
ER  -