Semantic Data Integration and Registration: Application to Heterogeneous Atmosphere and Volcanic Data Sources

We present our work on semantically-enabled data and schema registration in the setting of a scientific data integration project: SESDI (Semantically-Enabled Scientific Data Integration), which aims initially to integrate heterogeneous volcanic and atmospheric chemical compound data in support of assessing the atmospheric effects of a volcanic eruption. We use semantic methods through out the project, however in this paper and demonstration, we will highlight issues related to our work on data and schema registration and integration. In this process, we will demonstrate how we are reusing previously developed ontologies and how those ontologies are being used to provide a smart: data integration capability aimed at interdisciplinary scientific research.

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The vast majority of explorations of the Earth system are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. In many cases, 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.