Modelling provenance in hydrologic science: A case study on streamflow forecasting
The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Hydroinformatics|
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