Tina Eliassi-Rad
eliassi@cs.wisc.edu
http://www.cs.wisc.edu/~eliassi or
http://www.llnl.gov/CASC/people/eliassi-rad/

Affiliations: Lawrence Livermore National Laboratory & 
              University of Wisconsin-Madison

Title:  Managing Large-Scale Scientific Data

Abstract:

With the advent of fast computer systems, scientists are now able to
generate terabyte scale data sets.  Unfortunately, the shear size of these
data sets has made efficient exploration of the them impossible.  The
DataFoundry project aids scientists by providing a query infrastructure
over the data.  Our infrastructure reduces the data storage requirements
and access times in two stages.  First, we create and store mathematical
and statistical models of the data.  Second, we evaluate queries on the
models of the data instead of on the entire data set.

If time permits, I will briefly speak about my dissertation work, which
was on building intelligent agents that learn to retrieve and extract
information.