In the computationally intensive and diverse scientific environment of geosciences, substantial volumes of data are generated by specialized complex processing systems called ‘models’. These datasets contain little knowledge of their processing. Therefore a high degree of domain expertise is required to interpret, regenerate and tweak their production. Provenance is described as a general ability to record and evolve information related to the creation of data. We extend this idea further by proposing a mechanism by which a model’s setup and its domain semantics are integrated with the data it produces. This creates a scope for controlling model executions using their respective setups or ‘configurations’. In this work we created an application neutral framework which can be applied to models of a similar class in geosciences. Our objective is to allow scientists to share their experiments with anyone having an interest in it while allowing for formally controlled and extensible customizations.
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-4904 |
| Date | 13 December 2008 |
| Creators | Thakur, Amritanshu |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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