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

Abstract

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.