Crowd vs. Experts

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Crowd vs. Experts

Nichesourcing for knowledge intensive tasks in cultural heritage

Conference Paper (2014)

Author(s)

Jasper Oosterman (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Alessandro Bozzon (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Geert Jan Houben (TU Delft - Electrical Engineering, Mathematics and Computer Science)

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

DOI related publication

https://doi.org/10.1145/2567948.2576960 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:f27db6b7-c718-471a-8d7b-34633e7a6651

More Info

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Publication Year

2014

Language

English

Research Group

Support Software Technology

Pages (from-to)

567-568

ISBN (electronic)

9781450327459

Event

23rd International Conference on World Wide Web, WWW 2014 (2014-04-07 - 2014-04-11), Seoul, Korea, Republic of

Downloads counter

170

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.