Smart Assistant for Mining (SAM)
To facilitate exploitation of data mining techniques by the increasingly IT‐ sophisticated NASA Earth science community, the University of Alabama in Huntsville led a collaborative team to leverage Semantic Web technologies to build a Smart Assistant for Mining (SAM) and to deploy it for use. This project reused an existing toolkit of data mining web services designed specifically for the analysis of NASA data in a web‐based, service‐oriented architecture. It also leverage d and extend ed an initial ontology describing data mining services with links to other ontologies describing the Earth science problem domain and relevant data sets. The new SAM user interface tool, which integrates semantic reasoning into a traditional workflow composer, allows users to discover available data and services, assists users in composing mining workflows, and invoke s them to perform the desired analysis.