PUBLICATIONS and PRESENTATIONS
Earth Science Markup Language: An Overview. Eos, Transactions, AGU. 2002 ;83.
. Talkoot: Software Tool to Create Collaboratories for Earth Science. Earth Science Informatics. 2012 ;5(1).
. Passive Microwave - ESIP. In: Data for Science and Society, The Second National Conference on Scientific and Technical Data, Sponsored by the U.S. National Committee for The Committee on Data for Science and Technology (CODATA). Data for Science and Society, The Second National Conference on Scientific and Technical Data, Sponsored by the U.S. National Committee for The Committee on Data for Science and Technology (CODATA). National Research Council, Washington, DC; 2000.
. Precipitation Development and Electrification in Florida Thunderstorms During Convection and Precipitation/Electrification Project. Journal of Geophysical Research. 1996 .
. 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.
. Innovative Technologies for Sciences Data Processing. American Geophysical Union 2001 Spring Meeting. 2001 .
. 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 .
. Ontology Re-engineering Use Case: Extending SWEET to Map Climate and Forecasting Vocabulary Terms. Geoinformatics 2006. 2006 .
. Earth Science Markup Language: An update. NASA Earth Science Technology Conference. 2002 .
. 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.
. 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 .
. Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets. NASA Earth Science Technology Conference. 2001 .
. 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
. 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.
. Mining Earth Science Data. 8th International Symposium on Remote Sensing of Environment. 2000 .
. 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.
. A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science. American Geophysical Union 2004 Fall Meeting. 2004 .
. Estimating Ice Water Content Using Observed Lightning. International Conference on Atmospheric Electricity. 1996 .
. Visualize and Analyze MODIS Imagery using GLIDER Tool. In: AGU Western Pacific Geophysics Meeting. AGU Western Pacific Geophysics Meeting. National Taiwan University, Taiwan; 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 .
. 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 (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.
. Polaris: A Discovery Engine for Big Data. IGARSS. 2013 .
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