Engineering new paths to water data

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.