Crowd vs. Experts

Nichesourcing for knowledge intensive tasks in cultural heritage

Conference paper (2014)

Authors

J.E.G. Oosterman Web Information Systems -

A. Bozzon Web Information Systems -

G.J.P.M. Houben Web Information Systems -

Archana Nottamkandath Vrije Universiteit Amsterdam

Chris Dijkshoorn Vrije Universiteit Amsterdam

Lora Aroyo Vrije Universiteit Amsterdam

Mieke H R Leyssen Centrum Wiskunde & Informatica (CWI)

Myriam C. Traub Centrum Wiskunde & Informatica (CWI)

Research Group

Support Software Technology

Crowdsourcing Cultural heritage Tagging Knowledge intensive tasks Nichesourcing

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Published Date

2014

Language

English

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Research Group

Support Software Technology

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.