PNNL

Abstract

Provenance capture as applied to execution oriented and interactive workflows is designed to record minute detail needed to support a "modify and restart" paradigm as well as re-execution of past workflows. In our experience, provenance also plays an important role in human-centered verification, results tracking, and knowledge sharing. To enable this we must overcome the low level of detail received from most provenance capture mechanisms and pre-sent it in a user oriented view. In this paper, we present a design which leverages named graphs to create and man-age views as a server-side function, simplifying user presentation of provenance data.