Authors
Jasper Oosterman, Archana Nottamkandath, Chris Dijkshoorn, Alessandro Bozzon, Geert-Jan Houben, Lora Aroyo
Publication date
2014/6/23
Book
Proceedings of the 2014 ACM conference on Web science
Pages
267-268
Description
Large datasets such as Cultural Heritage collections require detailed annotations when digitised and made available online. Annotating different aspects of such collections requires a variety of knowledge and expertise which is not always possessed by the collection curators. Artwork annotation is an example of a knowledge intensive image annotation task, i.e. a task that demands annotators to have domain-specific knowledge in order to be successfully completed.
This paper describes the results of a study aimed at investigating the applicability of crowdsourcing techniques to knowledge intensive image annotation tasks. We observed a clear relationship between the annotation difficulty of an image, in terms of number of items to identify and annotate, and the performance of the recruited workers.
Scholar articles
J Oosterman, A Nottamkandath, C Dijkshoorn… - Proceedings of the 2014 ACM conference on Web …, 2014