BCIG SPEAKER EVENT: “Semantic
Medline: Advanced Technologies for Biomedical Information Management”
The conference room has CHANGED..
The NEW room will be in 2-3330, down the hall from
our usual 2C116 in the CRC (the new half of Bldg 10)
- view the seminar archive
DESCRIPTION: Advanced information management applications provide
enabling technologies for clinical practitioners and biomedical researchers by
manipulating information as well as documents. The Lister Hill National Center
for Biomedical Communications is developing a program, called Semantic Medline,
which integrates PubMed searching, advanced natural language processing,
automatic summarization, and visualization into a single Web portal. Semantic
Medline is intended to help users manage the results of PubMed searches by
normalizing core information in the citations retrieved. These normalized forms
constitute computable knowledge accessible to further manipulation, including
condensation by automatic summarization. The normalized and condensed output of
Semantic Medline is visualized as an informative graph with links to the
original Medline citations. Convenient access is also provided to additional
relevant knowledge resources, such as Entrez Gene, the Genetics Home Reference,
and the Unified Medical Language System. Semantic Medline’s ability to
manipulate information has the potential to make an impact on biomedicine by
supporting scientific discovery, evidence-based medicine, and the timely
translation of insights from basic research into advances in clinical practice
and patient care.
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3:00 - 4:30 pm June 14, 2007
Thomas Rindflesch, Ph.D., NLM
Thomas Rindflesch has a Ph.D. in linguistics from the University of Minnesota
and is currently principal investigator for the Semantic Knowledge
Representation project at the National Library of Medicine. His research
concentrates on developing general methods that exploit symbolic, rule-based
techniques to extract usable semantic information from biomedical text. The goal
of this research is to use semantic interpretation as the basis for building
innovative biomedical information management applications.
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