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This article is part of the supplement: Proceedings of the 10th Bio-Ontologies Special Interest Group Workshop 2007. Ten years past and looking to the future

Open AccessProceedings

Facilitating the development of controlled vocabularies for metabolomics technologies with text mining

Irena Spasić1,2 email, Daniel Schober3 email, Susanna-Assunta Sansone3 email, Dietrich Rebholz-Schuhmann3 email, Douglas B Kell1,4 email and Norman W Paton1,2 email

1Manchester Centre for Integrative Systems Biology, The University of Manchester, 131 Princess Street, Manchester, M1 7ND, UK

2School of Computer Science, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK

3The European Bioinformatics Institute, EMBL Outstation - Hinxton, Wellcome Trust Genome Campus, Cambridge, CB10 1SD, UK

4School of Chemistry, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK

author email corresponding author email

BMC Bioinformatics 2008, 9(Suppl 5):S5doi:10.1186/1471-2105-9-S5-S5

Published: 29 April 2008

Additional files

Additional File 1:

Evaluation results: each test set was evaluated independently by two domain experts. Each term from the test sets was scored from 1 to 5 reflecting an expert opinion about the degree to which the term in question is related to the technology described by the CV: 1 – no, definitely; 2 – no, probably; 3 – don't know / not sure; 4 – yes, probably; 5 – yes, definitely.

Format: XLS Size: 32KB Download file

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