Enhancing Cultural Heritage Information through Selective Crowdsourcing
| Art der Publikation: | Artikel in einem Konferenzbericht |
| Zitat: | |
| Buchtitel: | 9th IEEE International Conference on Advanced Computer Science and Information Systems |
| Jahr: | 2017 |
| Monat: | Oktober |
| Ort: | Jakarta - Indonesia |
| DOI: | https://doi.org/10.1109/ICACSIS.2017.8355013 |
| Abriss: | 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. |
| Schlagworte: | crowdsourcing, Cultural differences , Data Models, Distributed databases , Mobile applications , semantic web, Task analysis |
| Autoren | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
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