Hosted at the workshop on "Finding Hidden Knowledge: Text Mining
for Biology and Medicine", this panel will compare specialists'
and users' diverse experiences with biomedical text mining (TM),
discuss the utility and usability of such technology, and
pinpoint possible future directions for this fast-growing
research field. As TM technology invites a range of
applications, including processing the increasing volume of
biomedical publications, the aim is to strengthen dialogue
between its developers and its users. Such exchange and
interaction is vital in order to facilitate the specification of
use cases to drive the next generation of applications.
Panel Members
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Wendy Bickmore
Senior Scientist at the MRC Human Genetics Unit at the Western
General Hospital in Edinburgh and user of TM to assist curation
decision for the Nuclear Protein Database.
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Ted Briscoe
Professor of Computational Linguistics at the University of
Cambridge and head of the highly interdisciplinary FlySlip
project which integrated natural language processing (NLP)
to support curation for Flybase, a database of drosophila
genes and genomes.
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Elizabeth Fairley
Former Curation Manager for the TXM project at Cognia EU who
benchmarked the usability of NLP for curation of information
from biomedical papers.
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Tim Miller
Director R&D at Thomson Scientific, who will share his
testimonial about TEMIS Text Analytics Solution.
Panel Chair
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Bonnie Webber
Professor of Intelligent Systems at Edinburgh University's
School of Informatics, who has lead and been involved in
numerous interdisciplinary research projects linking NLP and
biology, medicine as well as the health sector.
