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Provenance: Past, Present and Future in Interdisciplinary and Multidisciplinary Perspective Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Visual Analytics: Data, Analytical and Reasoning Provenance

Authors : Margaret Varga, Caroline Varga

Published in: Building Trust in Information

Publisher: Springer International Publishing

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Abstract

Analysts and decision makers are increasingly overloaded with vast amounts of data/information which are often dynamic, complex, disparate, conflicting, incomplete and, at times, uncertain. Furthermore, problems and tasks that require their attention can be ambiguous, i.e. they are ill-defined. In order to make sense of complex data and situations and make informed decisions, they utilize their intuition, knowledge and experience. Provenance is fundamental for the user to capture and exploit effectively the explicit data and implicit knowledge within the decision making process. Provenance can usefully be considered at three conceptual levels, namely: data (what), analytical (how) and reasoning (why). This paper explores visual analytics in the exploitation of provenance within the decision making process.

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previous chapter The Lifecycle of Provenance Metadata and Its Associated Challenges and Opportunities
next chapter Analytic Provenance and Distributed Sensemaking
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Metadata
Title
Visual Analytics: Data, Analytical and Reasoning Provenance
Authors
Margaret Varga
Caroline Varga
Copyright Year
2016
Book
Building Trust in Information

Print ISBN: 978-3-319-40225-3

Electronic ISBN: 978-3-319-40226-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-40226-0_9