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Modelling provenance in hydrologic science: A case study on streamflow forecasting

Shu, Yanfeng; Taylor, Kerry; Hapuarachchi, Prasantha; Peters, Chris


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]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Journal of Hydroinformatics
DOI: 10.2166/hydro.2012.134


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