NDLI: Collaborative semi-automatic annotation of the biomedical literature

Content Provider	IEEE Xplore Digital Library
Author	Cano, C. Labarga, A. Blanco, A. Peshkin, L.
Copyright Year	2011
Description	Author affiliation: Dept. Systems Biology, Harvard Medical School, Boston, MA (Peshkin, L.) \|\| Dept. Computer Science and A.I., University of Granada, Granada, Spain (Cano, C.; Labarga, A.; Blanco, A.)
Abstract	The increasing availability of whole human genomes due to the improvements in high-throughput sequencing technologies makes the interpretation and annotation of data at a whole-genome scale more and more feasible. However, these tasks critically depend on the availability of knowledge already stored in databases or published in the scientific literature. This scenario requires new reliable and integrative information extraction systems to be available to the biomedical community. In this work we present a hybrid approach for mining the wealth of knowledge stored in the scientific literature. This approach is based on the use of efficient text-mining tools in combination with highly accurate collaborative human curation. BioNotate-2.0 is an open source, modular friendly tool which implements a collaborative semi-automatic annotation platform in which human and automated annotations are efficiently combined. BioNotate-2.0 also builds upon the Semantic Web, facilitating the dissemination of annotated facts into other resources and pipelines. BioNotate-2.0 allows any interested user to run his own annotation efforts or to contribute to an existing annotation project. To access and contribute to the BioNotate-2.0 annotation platform, please check: http://genome2.ugr.es/bionotate2/. BioNotate source code is available at: http://sourceforge.net/projects/bionotate/.
Starting Page	1213
Ending Page	1217
File Size	1489436
Page Count	5
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121824
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaborative annotation biomedical literature semi-automatic curation Genomics Collaboration Manuals Resource description framework text-mining Bioinformatics
Content Type	Text
Resource Type	Article

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