Abstract
The results of our exploratory study provide new insights to crowdsourcing knowledge intensive tasks. We designed and performed an annotation task on a print collection of the Rijksmuseum Amsterdam, involving experts and crowd workers in the domain-specific description of depicted ow- ers. We created a testbed to collect annotations from ower experts and crowd workers and analyzed these in regard to user agreement. The findings show promising results, demonstrating how, for given categories, nichesourcing can provide useful annotations by connecting crowdsourcing to domain expertise.
Original language | English |
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Title of host publication | WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 567-568 |
Number of pages | 2 |
ISBN (Electronic) | 9781450327459 |
DOIs | |
Publication status | Published - 2014 |
Event | 23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of Duration: 7 Apr 2014 → 11 Apr 2014 |
Conference
Conference | 23rd International Conference on World Wide Web, WWW 2014 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 7/04/14 → 11/04/14 |
Keywords
- Crowdsourcing
- Cultural heritage
- Knowledge intensive tasks
- Nichesourcing
- Tagging