2008 ManuallyStructDigAbstracts

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Keywords: Biomedical Text Mining.

Notes

  • It replies to responses to an earlier article recommending that author's provide annotated abstracts.

Quotes

  • In the past, we have advocated the adoption of the structured digital abstract to bring scientific publishing into the database age [1] and [2]. An increasing number of projects are bringing us toward the reality of machine-readable as well as human-readable access and integration to large published data sets, and as such we will take a moment to revisit our proposal, reflect and address several of the concerns that have arisen since our articles first appeared last year.

References

  • [1] M. Gerstein, M. Seringhaus and S. Fields, Structured digital abstract makes text mining easy, Nature 447 (2007), p. 142. View Record in Scopus | Cited By in Scopus (8)
  • [2] M.R. Seringhaus and M.B. Gerstein, Publishing perishing? Towards tomorrow’s information architecture, BMC Bioinform. 8 (2007), p. 17. View Record in Scopus | Cited By in Scopus (15)
  • [3] U. Hahn, J. Wermter, R. Blasczyk and P.A. Horn, Text mining: powering the database revolution, Nature 448 (2007), p. 130. View Record in Scopus | Cited By in Scopus (6)
 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 ManuallyStructDigAbstractsMichael Seringhaus
Mark Gerstein
Manually Structured Digital Abstracts: A scaffold for automatic text mining.FEBS Lettershttp://dx.doi.org/doi:10.1016/j.febslet.2008.02.07310.1016/j.febslet.2008.02.0732008