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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...
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/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. |
format | Text |
id | pubmed-2559991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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