Engineering new paths to water data
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Considering the scope of water resources research, data can be available from many different sources that use different nomenclature, storage technologies, interfaces and even languages, which make its discovery a hard and time-consuming task. This paper addresses the development of an ontology-aided, clustered search mechanism that enables querying multiple hydrologic and environmental data repositories through a single interface regardless of the heterogeneity that exists between these sources.
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