Semantic mediation and integration of volcanic and atmospheric data:in search of statistical signatures

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{{#vardefine:authoreditor|Peter Fox, Krishna Sinha, Rob raskin, Deborah L. McGuinness, C. Ammann, D. Venezky, F. Schwander}}

Reference: {{#vardefine:pagename|semantic mediation and integration of volcanic and atmospheric data:in search of statistical signatures }}

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{{#vardefine:pagename|Semantic mediation and integration of volcanic and atmospheric data:in search of statistical signatures }}{{#vardefine:key| }}

abstract: We present current results for a research effort into the application of semantic web methods and technologies to address the challenging problem of integrating heterogeneous volcanic and atmospheric data in support of assessing the atmospheric effects of a volcanic eruption. This scenario highlights what is true for the vast majority of data intensive Earth system investigations which have limited ability to explore important and difficult problems. This is because they are forced to find and use data representing an event or phemenonon of interest through data collections at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. The volcano eruption scenario exemplifies these challenges. We present how semantic web methodologies are implemented within existing distributed technology frameworks to provide essential, re-useable, and robust, support necessary for interdisciplinary scientific research activities. This project: Semantically-Enabled Science Data Integration (SESDI) is an NASA/ESTO/ACCESS-funded project involving the High Altitude Observatory at the National Center for Atmospheric Research (NCAR), McGuinness Associates Consulting, NASA/JPL and Virginia Polytechnic University.

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