Text Mining for Biology--the Way Forward: Opinions from Leading Scientists

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2008 Oct 18

PMID 18834498

Citations 35

Authors

Russ B Altman

Casey M Bergman

Judith Blake

Christian Blaschke

Aaron Cohen

Frank Gannon

Les Grivell

Udo Hahn

William Hersh

Lynette Hirschman

Lars Juhl Jensen

Martin Krallinger

Barend Mons

Sean I ODonoghue

Manuel C Peitsch

Dietrich Rebholz-Schuhmann

Hagit Shatkay

Alfonso Valencia

Affiliations

Soon will be listed here.

Abstract

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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