Provenance narratives and visualisation to support understanding and trust
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(Published version)
Date
2019
Authors
Cunningham, A.
Nowina-Krowicki, M.
Walsh, J.
Chung, J.
Wark, S.
Thomas, B.H.
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Conference paper
Citation
23rd International Congress on Modelling and Simulation Supporting Evidence Based Decision Making the Role of Modelling and Simulation Modsim 2019, 2019, pp.421-427
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Conference Name
MODSIM2019, 23rd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (1 Dec 2019 - 6 Dec 2019 : Canberra, Australia)
Abstract
We present a system for automatically generating and presenting provenance narratives from World Wide Web Consortium (W3C) compliant provenance records. The interactive narrative visualisation produced allows an analyst or decision maker to explore complex provenance information in a simple, engaging and intuitive manner. Our approach provides a summarised view of the provenance narrative, that can additionally be expanded, collapsed and explored to provide varying levels of detail to the user. Expansion information provides further context to help aid understanding and gain insight. The analyst or decision maker can use the narrative visualisation to explore how: a particular result was achieved; the influence of any particular agent on the result; and the flow-on effects of a particular change in input, constraint or processing that has taken place.
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Copyright 2019 The author(s)