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Text mining: powering the database revolution

Nature volume 448, page 130 (2007)Cite this article

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Mark Gerstein and colleagues in Correspondence (Nature 447, 142; doi:10.1038/447142a 2007) propose that journals should require authors to manually provide structured abstracts to facilitate text mining of biological information. There are three main difficulties in implementing such a proposal.

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Authors and Affiliations

  1. Friedrich Schiller University Jena, Computational Linguistics Group – JULIE Lab, Jena, 07743, Germany

    Udo Hahn & Joachim Wermter

  2. Institute for Transfusion Medicine, Hannover Medical School, Hannover, 30625, Germany

    Rainer Blasczyk & Peter A. Horn

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  1. Udo Hahn
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  2. Joachim Wermter
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  3. Rainer Blasczyk
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  4. Peter A. Horn
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Hahn, U., Wermter, J., Blasczyk, R. et al. Text mining: powering the database revolution. Nature 448, 130 (2007). https://doi.org/10.1038/448130b

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