A novel approach to task abstraction to make better sense of provenance data
Bors, Christian, Attfield, Simon ORCID: https://orcid.org/0000-0001-9374-2481, Battle, Leilani, Dowling, Michelle, Endert, Alex, Koch, Steffen, Kulyk, Olga, Laramee, Robert, Troy, Melanie and Wenskovitch, John
(2019)
A novel approach to task abstraction to make better sense of provenance data.
Fekete, Jean-Daniel, T. J., Jankun-Kelly, Tory, Melanie and Xu, Kai
ORCID: https://orcid.org/0000-0003-2242-5440, eds.
Provenance and Logging for Sense Making, Dagstuhl Reports, Volume 8, Issue 11.
In: Provenance and Logging for Sense Making (Dagstuhl Seminar 18462), 11-16 Nov 2018, Dagstuhl, Germany.
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ISSN 2192-5283
[Conference or Workshop Item]
(doi:10.4230/DagRep.8.11.35)
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Abstract
Working Group Report in 'Provenance and Logging for Sense Making' report from Dagstuhl Seminar 18462: Provenance and Logging for Sense Making, Dagstuhl Reports, Volume 8, Issue 11
Item Type: | Conference or Workshop Item (Other) |
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Keywords (uncontrolled): | Logging, provenance, sensemaking, visualization |
Research Areas: | A. > School of Science and Technology |
Item ID: | 28665 |
Notes on copyright: | Except where otherwise noted, content of this report is licensed under a Creative Commons BY 3.0 Unported license Provenance and Logging for Sense Making, Dagstuhl Reports, Vol. 8, Issue 11, pp. 35–62 Editors: Jean-Daniel Fekete, T. J. Jankun-Kelly, Melanie Tory, and Kai Xu
Section: 4.3 A Novel Approach to Task Abstraction to Make Better Sense of Provenance Data - © Christian Bors, Simon Attfield, Leilani Battle, Michelle Dowling, Alex Endert, Steffen Koch, Olga A. Kulyk, Robert S. Laramee, Melanie Tory, and John Wenskovitch |
Useful Links: | |
Depositing User: | Simon Attfield |
Date Deposited: | 07 Jan 2020 09:28 |
Last Modified: | 18 Feb 2020 15:28 |
URI: | https://eprints.mdx.ac.uk/id/eprint/28665 |
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