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Semantically Enhanced Provenance Capture for Chamber Model Development with a Master Chemical Mechanism

Chris J. Martin, Mohammed H. Haji, Peter M. Dew, Michael J. Pilling and Peter K. Jimack
Philosophical Transactions: Mathematical, Physical and Engineering Sciences
Vol. 367, No. 1890, The Environmental eScience Revolution (Mar. 13, 2009), pp. 987-990
Published by: Royal Society
Stable URL: http://www.jstor.org/stable/40485754
Page Count: 4
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Semantically Enhanced Provenance Capture for Chamber Model Development with a Master Chemical Mechanism
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Abstract

The development and maintenance of benchmark databases within scientific communities is reliant on interactions with database users. We explore the role of semantically enhanced provenance for computational modelling processes that make use of one such database: the master chemical mechanism, a key resource within the atmospheric chemistry community.

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