Augmenting raw provenance data with selected semantic annotations can help bridge the gap between low level events captured by instrumentation and the high-level view that the user has of his/her investigation. In this initial investigation we added provenance to the Eli Lilly open source Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection using the Karma provenance framework, and (ii) automated semantic enrichment of the collected provenance metadata using the S-OGSA semantic annotation framework. Using a paradigmatic use case of interactive data exploration in the Life Science shows that provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.

In: Semantic Web in Provenance Management (SWPM) Workshop

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