Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
508301 | Computers & Geosciences | 2009 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Bora Beran, Michael Piasecki,