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Linking, Literature, Information, and Knowledge for Biologie - Workshop of the BioLINK Special Interest Group, ISBM/ECCB 2009, Stockholm, June 28-29, 2009, Revised Selected Papers (Paperback, 2010 ed.)
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Linking, Literature, Information, and Knowledge for Biologie - Workshop of the BioLINK Special Interest Group, ISBM/ECCB 2009, Stockholm, June 28-29, 2009, Revised Selected Papers (Paperback, 2010 ed.)
Series: Lecture Notes in Computer Science, 6004
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This volumeofLecture Notes in Bioinformatics (LNBI)
containsselectedpapers from the workshop of the BioLINK Special
Interest Group (SIG) on Linking
Literature,InformationandKnowledgeforBiology.
TheworkshopwasheldJune 28-29, 2009 at the ISMB/ECCB 2009 conference
in Stockholm (http://www. iscb. org/ismbeccb2009). The BioLINK SIG
meeting has been regularly held in association with the ISMB
conferences since 2001, focusing on the development and application
of resources and tools for biomedical text mining. The SIG is
interdisciplinary in nature, and brings together researchers
applying natural language processing,
textmining,informationextractionandretrievalinthebiomedicaldomain,with
scientistsfrombioinformaticsandbiology.
ThisyeartheSIGincludedtwospecial sessions, one on the analysis of
images and ?gures, which play a critial role in scienti?c papers,
and the other on the future of scienti?c publication. Overview
papers concerned with both these topics are included in this
volume.
Themeetingfeaturedinvitedtalks,presentationsofpeer-reviewedcontributed
papers, reports from recent evaluations and workshops, as well as a
poster s- sion. The SIG solicited papers that discuss current
biological image- and te- related needs, the challenges of meeting
them, and the tools that may help address them. Speci?c topics
include: biological image analysis and its relati- ship to
biomedical text mining, application of text-mining tools to
biomedical research, automated indexing of the biomedical
literature, generation of str- tured digital abstracts, new
evaluation measures to measure utility and usab- ity of text mining
tools integrated into the biologist's work?ow, as well as new tools
and applications, and future directions in biomedical text mining.
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