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Calling on a million minds for community annotation in WikiProteins

2008; BioMed Central; Volume: 9; Issue: 5 Linguagem: Inglês

10.1186/gb-2008-9-5-r89

1474-760X

Barend Mons, Michael Ashburner, Christine Chichester, Erik M. van Mulligen, Marc Weeber, Johan T. den Dunnen, Gert‐Jan B. van Ommen, Mark A. Musen, Matthew Cockerill, Henning Hermjakob, Albert Mons, Abel L. Packer, Roberto Carlos dos Santos Pacheco, Suzanna Lewis, Alfred R. Berkeley, William Melton, Nickolas Barris, Jimmy Wales, Gerard Meijssen, Erik Moeller, Peter‐Jan Roes, Katy Börner, Amos Bairoch,

Genomics and Phylogenetic Studies

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 .