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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
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 |
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author | 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 |
author_facet | 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 |
author_sort | Mons, Barend |
collection | PubMed |
description | 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 . |
format | Text |
id | pubmed-2441475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24414752008-06-28 Calling on a million minds for community annotation in WikiProteins 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 Genome Biol Software 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 . BioMed Central 2008 2008-05-28 /pmc/articles/PMC2441475/ /pubmed/18507872 http://dx.doi.org/10.1186/gb-2008-9-5-r89 Text en Copyright © 2008 Mons et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software 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 Calling on a million minds for community annotation in WikiProteins |
title | Calling on a million minds for community annotation in WikiProteins |
title_full | Calling on a million minds for community annotation in WikiProteins |
title_fullStr | Calling on a million minds for community annotation in WikiProteins |
title_full_unstemmed | Calling on a million minds for community annotation in WikiProteins |
title_short | Calling on a million minds for community annotation in WikiProteins |
title_sort | calling on a million minds for community annotation in wikiproteins |
topic | Software |
url | 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 |
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