| Abstract
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As in-situ and remote sensing measurements … As in-situ and remote sensing measurements of the Earth system continue to be developed, many current information technology solutions are limited in their ability to enable scientists to effectively explore the most important (often most difficult) problems since as a non-computer science specialist they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Within most technology solutions, syntax-only interoperability IS the state-of-the-art. In order for scientists and non-scientists to discover, access, and use data from unfamiliar sources, they are forced to learn details of the data schema, other people's naming schemes and syntax decisions. In this presentation we demonstrate, via interdisciplinary examples, how ontologies implemented within existing distributed technology frameworks are providing the essential, re-useable, and robust, support necessary interdisciplinary scientific research activities. This work is partly funded by the NASA-ACCESS, NASA/ESTO and NSF/OCI programs. SA-ACCESS, NASA/ESTO and NSF/OCI programs.
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