Crowdsourcing approaches for knowledge organization systems: Crowd collaboration or crowd work?

Author:

Zhitomirsky-Geffet Maayan1,Kwaśnik Barbara H.2,Bullard Julia3,Hajibayova Lala4,Hamari Juho5,Bowman Timothy6

Affiliation:

1. Bar-Ilan University; Israel

2. Syracuse University; USA

3. The University of Texas at Austin; USA

4. Kent State University

5. University of Tampere; Finland

6. University of Turku; Finland

Publisher

Wiley

Subject

Library and Information Sciences,General Computer Science

Reference41 articles.

1. Aroyo , L. Welty , C. 2013 Measuring crowd truth for medical relation extraction AAAI2013 Fall Symposium on Semantics for Big Data https://www.aaai.org/ocs/index.php/FSS/FSS13/paper/view/7627/7543

2. Chan , S. 2007 Tagging and searching - Serendipity and museum collection databases J. Trant D. Bearman Museums and the Web 2007: Proceedings, Toronto: Archives & Museum Informatics http://www.archimuse.com/mw2007/papers/chan/chan.html

3. Predicting protein structures with a multiplayer online game;Cooper;Nature,2010

4. Ontology Matching

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