Semantics, Text, and Biomedical Knowledge Discovery: Challenges and Opportunities
Add to your list(s)
Download to your calendar using vCal
If you have a question about this talk, please contact Laura Rimell.
In this talk, I will introduce the work we are doing at the
University of Colorado Denver on information extraction of biological
events from the biomedical literature. I will discuss the challenges
of working on text in this domain, as well as the opportunities and
advantages—in the form of community-generated ontologies and other
knowledge resources—that we have available to us. I will introduce
the notion of “3R”—“Reading, Reasoning, and Reporting”—
computational tools supporting biomedical discovery, and discuss the
role that text mining plays. Our current manifestation of this concept
is the Hanalyzer, an open-source data integration system designed to
help biologists explain results observed in genome-scale experiments
and to generate new hypotheses. Hanalyzer combines information
extraction techniques, semantic data integration, and reasoning and
facilitates network visualization.
This talk is part of the NLIP Seminar Series series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|