HR: 1340h
AN: IN53B-1205    [Abstracts]
TI: Prototyping a Knowledge IntegrationFramework to Solve Science Problems
AU: Graves, S
EM: sgarves@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparman Drive, Huntsville, AL 35758, United States
AU: Conover, H
EM: hconover@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparman Drive, Huntsville, AL 35758, United States
AU: Ramachandran, R
EM: rramachandran@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparman Drive, Huntsville, AL 35758, United States
AU: Movva, S
EM: smovva@itsc.uah.edu
AF: University of Alabama in Huntsville, 301 Sparman Drive, Huntsville, AL 35758, United States
AU: * Fox, P
EM: pfox@ucar.edu
AF: High Altitude Observatory, NCAR, Boulder, CO 80307-3000, United States
AU: McGuinness, D L
EM: dlm@ksl.stanford.edu
AF: McGuinness Associates and Stanford University, 20 Peter Coutts Circle, Stanford, CA 94305, United States
AB: Key information technology advances in recent years include the emergence of distributed computing architectures based on web services; knowledge engineering efforts as evidenced by the development of science domain ontologies in the Semantic Web; and growing interest in scientific data mining as a means for automated knowledge extraction from the ever-increasing volumes of science observations and model data available. We present the results of our prototype study that bring together these key information technology components, as applied to the problem of feature extraction and morphology identification for multi-wavelength images of the Sun. We present, the science application, the linked ontologies describing both the data mining, manipulation and analysis services as well as the science domain; and a web-based user interface based on an existing smart search tool (NOESIS) which allows a user to discover and explore available data and perform the desired analysis.
DE: 0498 General or miscellaneous
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting