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Text mining for biology - the way forward: opinions from leading scientists

This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several...

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Autores principales: Altman, Russ B, Bergman, Casey M, Blake, Judith, Blaschke, Christian, Cohen, Aaron, Gannon, Frank, Grivell, Les, Hahn, Udo, Hersh, William, Hirschman, Lynette, Jensen, Lars Juhl, Krallinger, Martin, Mons, Barend, O'Donoghue, Seán I, Peitsch, Manuel C, Rebholz-Schuhmann, Dietrich, Shatkay, Hagit, Valencia, Alfonso
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559991/
https://www.ncbi.nlm.nih.gov/pubmed/18834498
http://dx.doi.org/10.1186/gb-2008-9-s2-s7
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author Altman, Russ B
Bergman, Casey M
Blake, Judith
Blaschke, Christian
Cohen, Aaron
Gannon, Frank
Grivell, Les
Hahn, Udo
Hersh, William
Hirschman, Lynette
Jensen, Lars Juhl
Krallinger, Martin
Mons, Barend
O'Donoghue, Seán I
Peitsch, Manuel C
Rebholz-Schuhmann, Dietrich
Shatkay, Hagit
Valencia, Alfonso
author_facet Altman, Russ B
Bergman, Casey M
Blake, Judith
Blaschke, Christian
Cohen, Aaron
Gannon, Frank
Grivell, Les
Hahn, Udo
Hersh, William
Hirschman, Lynette
Jensen, Lars Juhl
Krallinger, Martin
Mons, Barend
O'Donoghue, Seán I
Peitsch, Manuel C
Rebholz-Schuhmann, Dietrich
Shatkay, Hagit
Valencia, Alfonso
author_sort Altman, Russ B
collection PubMed
description This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.
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spelling pubmed-25599912008-10-04 Text mining for biology - the way forward: opinions from leading scientists Altman, Russ B Bergman, Casey M Blake, Judith Blaschke, Christian Cohen, Aaron Gannon, Frank Grivell, Les Hahn, Udo Hersh, William Hirschman, Lynette Jensen, Lars Juhl Krallinger, Martin Mons, Barend O'Donoghue, Seán I Peitsch, Manuel C Rebholz-Schuhmann, Dietrich Shatkay, Hagit Valencia, Alfonso Genome Biol Research This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress. BioMed Central 2008 2008-09-01 /pmc/articles/PMC2559991/ /pubmed/18834498 http://dx.doi.org/10.1186/gb-2008-9-s2-s7 Text en Copyright © 2008 Altman 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 Research
Altman, Russ B
Bergman, Casey M
Blake, Judith
Blaschke, Christian
Cohen, Aaron
Gannon, Frank
Grivell, Les
Hahn, Udo
Hersh, William
Hirschman, Lynette
Jensen, Lars Juhl
Krallinger, Martin
Mons, Barend
O'Donoghue, Seán I
Peitsch, Manuel C
Rebholz-Schuhmann, Dietrich
Shatkay, Hagit
Valencia, Alfonso
Text mining for biology - the way forward: opinions from leading scientists
title Text mining for biology - the way forward: opinions from leading scientists
title_full Text mining for biology - the way forward: opinions from leading scientists
title_fullStr Text mining for biology - the way forward: opinions from leading scientists
title_full_unstemmed Text mining for biology - the way forward: opinions from leading scientists
title_short Text mining for biology - the way forward: opinions from leading scientists
title_sort text mining for biology - the way forward: opinions from leading scientists
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559991/
https://www.ncbi.nlm.nih.gov/pubmed/18834498
http://dx.doi.org/10.1186/gb-2008-9-s2-s7
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