Crowdsourcing approaches for knowledge organization systems: Crowd collaboration or crowd work?
Author:
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
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/pra2.2016.14505301013/fullpdf
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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