Research article
U-Compare bio-event meta-service: compatible BioNLP event extraction services
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* Corresponding author: Yoshinobu Kano kano@nii.ac.jp
1 Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), 4-1-8 Honcho, Kawaguchi, Saitama, 332-0012, Japan
2 National Institute of Informatics (NII), 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan
3 Department of Information Technology, University of Turku, Joukahaisenkatu 3-5, Turku, FI-20014, Finland
4 Turku Centre for Computer Science (TUCS), Joukahaisenkatu 3-5 B, Turku, FI-20520, Finland
5 Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universität Jena, Fürstengraben 30, D-07743 Jena, Germany
6 Computational Bioscience Program, University of Colorado Denver School of Medicine, PO Box 6511, MS 8303, Aurora, CO 80045 USA
7 Department of Computer Science and Software Engineering, Concordia University, 1455 de Maisonneuve Blvd West, Montréal, QC, H3G 1M8, Canada
8 Department of Plant Systems Biology, VIB/Ghent University, Technologiepark 927, Ghent, B-9052, Belgium
9 The National Centre for Text Mining (NaCTeM) and School of Computer Science, the University of Manchester, Manchester, UK
10 National Center of Biotechnology-CSIC, C/Darwin 3, Campus de Cantoblanco, Madrid, 28049, Spain
11 Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
12 Department of Computer Engineering, Bogazici University, 34342 Bebek, Istanbul, Turkey
13 School of Information, University of Michigan, Ann Arbor, MI 48109, USA
14 Department of Computer Science, University of Massachusetts Amherst, Massachusetts, USA
15 Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU), Sem Sælands vei 7-9, Trondheim, NO-7491, Norway
16 Korea Institute of Science and Technology Information. 245 Daehangno, Yuseong-gu, Daejeon, 305-806, South Korea
17 Database Center for Life Science (DBCLS), Research Organization of Information and System, Faculty of Engineering Bldg. 12, the University of Tokyo, 2-11-16, Yayoi, Bunkyo-ku, Tokyo, 113-0032 Japan
18 Department of Computer Science, University of Tokyo, Tokyo, Japan
19 Microsoft Research Asia, Building 2, No. 5 Dan Ling Street, Haidian District, Beijing, 100080 P.R.China
BMC Bioinformatics 2011, 12:481 doi:10.1186/1471-2105-12-481
Published: 18 December 2011First paragraph (this article has no abstract)
Bio-molecular event extraction from literature is recognized as an important task of bio text mining and, as such, many relevant systems have been developed and made available during the last decade. While such systems provide useful services individually, there is a need for a meta-service to enable comparison and ensemble of such services, offering optimal solutions for various purposes.