GM-RKB:2008 ManuallyStructDigAbstracts

Notes

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

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.

[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)

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 ManuallyStructDigAbstracts				Manually Structured Digital Abstracts: A scaffold for automatic text mining.			http://dx.doi.org/doi:10.1016/j.febslet.2008.02.073	10.1016/j.febslet.2008.02.073