Calling on a million minds for community annotation in WikiProteins

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-occur...

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Detalles Bibliográficos
Autores principales: Mons, Barend, Ashburner, Michael, Chichester, Christine, van Mulligen, Erik, Weeber, Marc, den Dunnen, Johan, van Ommen, Gert-Jan, Musen, Mark, Cockerill, Matthew, Hermjakob, Henning, Mons, Albert, Packer, Abel, Pacheco, Roberto, Lewis, Suzanna, Berkeley, Alfred, Melton, William, Barris, Nickolas, Wales, Jimmy, Meijssen, Gerard, Moeller, Erik, Roes, Peter Jan, Borner, Katy, Bairoch, Amos
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2441475/
https://www.ncbi.nlm.nih.gov/pubmed/18507872
http://dx.doi.org/10.1186/gb-2008-9-5-r89
Descripción
Sumario: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 .

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