Text Mining in the Life Sciences
October 1st, 2003
Schloss Birlinghoven, St. Augustin, Germany
Introduction
The demand for the analysis of large amounts of text in the Life Sciences is enormous. Keeping up with current research or even just with the volume of documents in one’s own organisation is a major challenge. The employment of automatic Text Mining methods to access the information in these data is seen more and more as a central building block of IT infrastructures that provide researchers and analysts with the necessary support for their everyday work – a trend which receives further support by successful examples of the use of the respective methods in productive systems.
Organisation
TEMIS SA
IBM Life Sciences
Fraunhofer Institute SCAI.
Speaker
Prof. Dr. Ulrich Trottenberg
Head of Fraunhofer SCAI
Welcome address
Keynote speaker:
Thérèse Vachon, PhD
Novartis
Text Mining in Life Sciences Informatics|
at Novartis
Charles Huot, PhD.
TEMIS SA, Paris
A general architecture for Text Mining in
an industry context
Dr. Sebastian Goeser
IBM Böblingen
IBM‘s Text Mining in the Life
Sciences: A Unified Information
Management Architecture
Dr. Martin Hofmann
Fraunhofer SCAI
Text Mining in clinical genome research I:
Dr. Albert Becker
Institute for Neuropathology, University Bonn
Text Mining in clinical genome research II:
An application to gene expression
experiments