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. . 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)
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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