Text mining for biology--the way forward: opinions from leading scientists
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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.
In: Genome Biology (Online Edition), Vol. 9 Suppl 2, 2008, p. S7.Research output: Contribution to journal › Journal article › peer-review
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TY - JOUR
T1 - Text mining for biology--the way forward
T2 - opinions from leading scientists
AU - Altman, Russ B
AU - Bergman, Casey M
AU - Blake, Judith
AU - Blaschke, Christian
AU - Cohen, Aaron
AU - Gannon, Frank
AU - Grivell, Les
AU - Hahn, Udo
AU - Hersh, William
AU - Hirschman, Lynette
AU - Jensen, Lars Juhl
AU - Krallinger, Martin
AU - Mons, Barend
AU - O'Donoghue, Seán I
AU - Peitsch, Manuel C
AU - Rebholz-Schuhmann, Dietrich
AU - Shatkay, Hagit
AU - Valencia, Alfonso
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Computational Biology
KW - Expert Testimony
KW - Publishing
U2 - 10.1186/gb-2008-9-s2-s7
DO - 10.1186/gb-2008-9-s2-s7
M3 - Journal article
C2 - 18834498
VL - 9 Suppl 2
SP - S7
JO - Genome Biology (Online Edition)
JF - Genome Biology (Online Edition)
SN - 1474-7596
ER -
ID: 40740016