Published in
BioMed Central, Genome Biology, 5(9), p. R89
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- [www.ncbi.nlm.nih.gov] | PDF
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- [www.who.int]
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [europepmc.org] | PDF
- [scholarworks.iu.edu] | PDF
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Tools
Calling on a million minds for community annotation in WikiProteins
,
Michael Ashburner,
Christine Chichester,
Johan Den Dunnen,
Erik van Mulligen ,
Marc Weeber,
Johan T. den Dunnen,
Gert-Jan van Ommen,
Mark Musen ,
Matthew Cockerill,
Henning Hermjakob,
Albert Mons,
Abel Packer,
Roberto Pacheco,
Suzanna Lewis
and other authors.
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Abstract
RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are. ; Abstract WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org.