Abstract
The US Department of Energy (DOE) Atmospheric Radiation Measurement Program (ARM) is adopting the use of formalized provenance to support observational data products produced by ARM operations and relied upon by researchers. Because of the diversity of needs in the climate community provenance will need to be conveyed in a domain-oriented context. This paper explores a use case where semantic abstract workflows (SAW) are employed as a means to filter, aggregate, and contextually describe the historical events responsible for the ARM data product the scientist is relying upon.
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Atmospheric Radiation Measurement Climate Research Facility: ARM Annual Report. U.S. Department of Energy, DOE/SC-ARM-0706 (2007)
Stephan, E.G., Halter, T.D., Ermold, B.D.: Leveraging The Open Provenance Model as a Multi-Tier Model for Global Climate Research. In: Proc. of 3rd International Provenance and Annotation Workshop, IPAW 2010 (2010)
Pinheiro da Silva, P., Salayandia, L., Gandara, A., Gates, A.Q.: CI-Miner: Semantically Enhancing Scientific Processes. Earth Science Informatics 2(4), 249–269 (2009)
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Stephan, E., Halter, T., Critchlow, T., da Silva, P.P., Salayandia, L. (2010). Using Domain Requirements to Achieve Science-Oriented Provenance. In: McGuinness, D.L., Michaelis, J.R., Moreau, L. (eds) Provenance and Annotation of Data and Processes. IPAW 2010. Lecture Notes in Computer Science, vol 6378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17819-1_40
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DOI: https://doi.org/10.1007/978-3-642-17819-1_40
Publisher Name: Springer, Berlin, Heidelberg
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