Abstract
Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.
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