PUBLICATIONS and PRESENTATIONS
Ontology-based Semantic Search Tool for Atmospheric Science. 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. 2006 .
. Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets. NASA Earth Science Technology Conference. 2001 .
. Bird's Eye View of Data Mining in Geosciences. In: Geoinformatics: Data to Knowledge. Geoinformatics: Data to Knowledge. Geological Society of America Special Paper 397; 2006.
. Data Prospecting–A Step Towards Data Intensive Science. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 ;6(3):1233-1241.
. GLIDER: Free Tool Imagery Data Visualization, Analysis and Mining. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2009. Available from: http://adsabs.harvard.edu/abs/2009AGUFMIN51C.07R
. Mining Earth Science Data. 8th International Symposium on Remote Sensing of Environment. 2000 .
. ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm. In: Data Mining Techniques in Grid Computing Environments. Data Mining Techniques in Grid Computing Environments. Wiley Publication; 2008.
. Flexible Framework for Mining Meteorological Data. American Meteorological Society's (AMS) 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. 2003 .
. Data Mining: Atmospheric Science Case Study. In: NASA Workshop on Issues in the Application of Data Mining to Scientific Data. NASA Workshop on Issues in the Application of Data Mining to Scientific Data. University of Alabama in Huntsville, Huntsville, AL; 1999.
. Ontology Re-engineering Use Case: Extending SWEET to Map Climate and Forecasting Vocabulary Terms. Geoinformatics 2006. 2006 .
. Estimating Ice Water Content Using Observed Lightning. International Conference on Atmospheric Electricity. 1996 .
. Earth Science Markup Language: An update. NASA Earth Science Technology Conference. 2002 .
. Visualize and Analyze MODIS Imagery using GLIDER Tool. In: AGU Western Pacific Geophysics Meeting. AGU Western Pacific Geophysics Meeting. National Taiwan University, Taiwan; 2010.
. Applying the Karma Provenance tool to NASA’s AMSR-E data production stream. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2010.
. Earth Science Markup Language Tutorial. In: Earth Science Federation Meeting. Earth Science Federation Meeting. Boulder, Colorado; 2003.
. Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science. AGU Annual Meeting. 2006 .
. Emergent Science: Accelerating the scientific process via simple collaborative interactions. In: Geological Society of America Annual Meeting. Geological Society of America Annual Meeting. Denver, CO; 2010.
. Polaris: A Discovery Engine for Big Data. IGARSS. 2013 .
. GLIDER: A comprehensive software tool to visualize, analyze and mine satellite imagery. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa; 2009. Available from: http://wiki.esipfed.org/index.php/GLIDER:_A_comprehensive_software_tool_to_visualize,_analyze_and_mine_satellite_imagery
. A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science. American Geophysical Union 2004 Fall Meeting. 2004 .
. Mining as a Service. In: IEEE International Geoscience & Remote Sensing Symposium. IEEE International Geoscience & Remote Sensing Symposium. Honolulu, HI; 2010.
. Earth Science Markup Language: A Solution to the Earth Science Data Format Heterogeneity Problem. American Meteorological Society's (AMS) 19th International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. 2003 .
. Earth Science Markup Language (ESML): a solution for scientific data-application interoperability problem. Computers & Geosciences [Internet]. 2004 ;30:117-124. Available from: http://www.sciencedirect.com/science/article/B6V7D-4BF5TY9-2/2/430d6854b74d0499f30ce80b57d51966
. Ontology Re-engineering Use Case: Extending SWEET to map Climate and Forecasting Vocabulary Terms. In: Joint Assembly of the American Geophysical Union. Joint Assembly of the American Geophysical Union. Baltimore, MD; 2006.
. Intelligent Data Thinning Algorithm for Earth System Numerical Model Research and Application. 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, 85th AMS Annual Meeting. 2005 .
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