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Linking, Literature, Information, and Knowledge for Biologie - Workshop of the BioLINK Special Interest Group, ISBM/ECCB 2009, S
68,90 €
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Sivumäärä: 81 sivua
Asu: Pehmeäkantinen kirja
Painos: 2010
Julkaisuvuosi: 2010, 04.06.2010 (lisätietoa)
Kieli: Englanti
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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