Name
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 flowers. We created a testbed to collect annotations from flower 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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2567948.2576960 | WWW (Companion Volume) |
Keywords | Field | DocType |
rijksmuseum amsterdam,domain-specific description,crowdsourcing knowledge,cultural heritage,knowledge intensive task,exploratory study,crowd worker,domain expertise,intensive task,new insight,annotation task,flower expert,crowdsourcing | Data mining,World Wide Web,Annotation,Cultural heritage,Crowdsourcing,Computer science,Subject-matter expert,Testbed,Exploratory research | Conference |
Citations | PageRank | References |
2 | 0.50 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jasper Oosterman | 1 | 36 | 4.61 |
| Alessandro Bozzon | 2 | 641 | 71.27 |
| Geert-jan Houben | 3 | 2547 | 209.67 |
| Archana Nottamkandath | 4 | 59 | 6.26 |
| Chris Dijkshoorn | 5 | 53 | 6.19 |
| Lora Aroyo | 6 | 1594 | 159.04 |
| Mieke H.R. Leyssen | 7 | 2 | 0.50 |
| Myriam C. Traub | 8 | 23 | 3.87 |