Date: 20th July 2013
Location: Berlin, Germany
BioLINK SIG 2013: Roles for text mining in biomedical knowledge discovery and translational medicine
The Annual Meeting of the ISMB BioLINK Special Interest Group
In Association with ISMB/ECCB 2013, Berlin, Germany
July 20, 2013
With the increasing availability of text data related to biology and medicine in the scientific literature, database annotations, the electronic health record, clinical trials data, and health information online, exciting opportunities arise to provide access to pertinent biomedical information and to advance biomedical knowledge. An evolving research direction is the integration of information from diverse data sources, including textual data, to support deeper understanding of biological systems, the genomic basis of disease, and genotype-phenotype relationships.
This year we propose to focus the BioLINK SIG Workshop on text-based applications which link between biological and clinical information. We will build on the topic of the well-attended previous special session on data integration, but shift the focus towards the use of text mining in applications that aim to further biological or medical understanding. We will solicit submissions from researchers working on all aspects of mining text in the biological, medical and clinical domains.
The BioLINK SIG meeting has been regularly held in association with the ISMB conference since 2001, focusing on the development and application of resources and tools for biomedical text mining. The SIG is interdisciplinary in nature focusing on the community of users, including biomedical experimentalists, researchers and database curators, who are interested in using text mining methods as part of their tools. The meeting includes invited talks, reports from recent evaluations and workshops, as well as a poster session. We will encourage posters with short abstracts presenting new/preliminary work, and dedicate some time to discussing them.
We anticipate a productive workshop that will facilitate discussion and exchange of ideas by bringing together multiple communities: the users of text mining tools, including curators of biological databases, bench scientists and bioinformaticians; and the researchers applying natural language processing, ontologies, text mining, image analysis, information extraction and retrieval to problems in the biomedical domain.
Christian Blaschke, Spanish Institute of Bioinformatics
Lynette Hirschman, MITRE Corporation
Hagit Shatkay, Dept. of Computer and Information Sciences, Center for Bioinformatics and Computational Biology, University of Delaware
Alfonso Valencia, Spanish National Cancer Research Centre
Karin Verspoor, National Information and Communication Technology Australia (NICTA)
Sophia Ananiadou, University of Manchester and NACTEM
Alan Aronson, US National Library of Medicine
Kevin Bretonnel Cohen, University of Colorado School of Medicine
Anna Divoli, Pingar Research
Larry Hunter, University of Colorado School of Medicine
Martin Krallinger, Spanish National Cancer Research Centre
Zhiyong Lu, US National Library of Medicine
Dietrich Rebholz-Schuhmann, University of Zurich and the European Bioinformatics Institute
Phoebe Roberts, Pfizer
Luis Rocha, Indiana University
Jun'ichi Tsujii, Microsoft Research Asia
John Wilbur, US National Library of Medicine