Literature DB >> 15534707

Chemical documents: machine understanding and automated information extraction.

Joe A Townsend1, Sam E Adams, Christopher A Waudby, Vanessa K de Souza, Jonathan M Goodman, Peter Murray-Rust.   

Abstract

Automatically extracting chemical information from documents is a challenging task, but an essential one for dealing with the vast quantity of data that is available. The task is least difficult for structured documents, such as chemistry department web pages or the output of computational chemistry programs, but requires increasingly sophisticated approaches for less structured documents, such as chemical papers. The identification of key units of information, such as chemical names, makes the extraction of useful information from unstructured documents possible.

Mesh:

Year:  2004        PMID: 15534707     DOI: 10.1039/b411033a

Source DB:  PubMed          Journal:  Org Biomol Chem        ISSN: 1477-0520            Impact factor:   3.876


  5 in total

1.  Academic librarians at play in the field of cheminformatics: building the case for chemistry research data management.

Authors:  Leah McEwen; Ye Li
Journal:  J Comput Aided Mol Des       Date:  2014-07-20       Impact factor: 3.686

2.  Mining metabolites: extracting the yeast metabolome from the literature.

Authors:  Chikashi Nobata; Paul D Dobson; Syed A Iqbal; Pedro Mendes; Jun'ichi Tsujii; Douglas B Kell; Sophia Ananiadou
Journal:  Metabolomics       Date:  2010-10-31       Impact factor: 4.290

3.  Communication and re-use of chemical information in bioscience.

Authors:  Peter Murray-Rust; John B O Mitchell; Henry S Rzepa
Journal:  BMC Bioinformatics       Date:  2005-07-18       Impact factor: 3.169

4.  Cheminformatics Research at the Unilever Centre for Molecular Science Informatics Cambridge.

Authors:  Julian E Fuchs; Andreas Bender; Robert C Glen
Journal:  Mol Inform       Date:  2015-03-10       Impact factor: 3.353

5.  Userscripts for the life sciences.

Authors:  Egon L Willighagen; Noel M O'Boyle; Harini Gopalakrishnan; Dazhi Jiao; Rajarshi Guha; Christoph Steinbeck; David J Wild
Journal:  BMC Bioinformatics       Date:  2007-12-21       Impact factor: 3.169

  5 in total

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