Enhancing cultural heritage data through selective crowdsourcing

Olivieri, Alex C. (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Shabani, Shaban (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Sokhn, Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

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.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Bali, Indonesia, 28-29 October 2017
Date:
2017-10
Bali, Indonesia
28-29 October 2017
Pagination:
5 p.
Published in:
Proceedings of International Conference on Advanced Computer Science and Information Systems (ICACSIS) 2017
DOI:
ISBN:
978-1-5386-3171-3
Appears in Collection:



 Record created 2018-11-02, last modified 2019-06-11

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