Generating narratives from provenance relationship chains
Generating narratives from provenance relationship chains
Provenance data is a rich data structured source that has a similar role to narratives, since they can both provide an account of connected events. Consuming prov data can be hard for both technical and non-technical users, because of its potential scale and the complexity of the relationships captured. Explicitly, it can be hard for users to follow and understand the chain of relationships connecting elements together. In this paper, we present an approach that generates narratives explaining chains of relationships and describe its nature with examples from a Ride Share application
978-1-4503-3797-7
37-41
Packer, Heather S.
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
1 September 2015
Packer, Heather S.
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Packer, Heather S. and Moreau, Luc
(2015)
Generating narratives from provenance relationship chains.
Hypertext and Narrative, Cyprus.
.
(doi:10.1145/2804565.2804573).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Provenance data is a rich data structured source that has a similar role to narratives, since they can both provide an account of connected events. Consuming prov data can be hard for both technical and non-technical users, because of its potential scale and the complexity of the relationships captured. Explicitly, it can be hard for users to follow and understand the chain of relationships connecting elements together. In this paper, we present an approach that generates narratives explaining chains of relationships and describe its nature with examples from a Ride Share application
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hpacker-provnar.pdf
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Accepted/In Press date: 11 July 2015
Published date: 1 September 2015
Venue - Dates:
Hypertext and Narrative, Cyprus, 2015-07-11
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 383673
URI: http://eprints.soton.ac.uk/id/eprint/383673
ISBN: 978-1-4503-3797-7
PURE UUID: 7aee16f7-35a6-4967-a1ab-72c9d860a3ee
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Date deposited: 20 Nov 2015 12:00
Last modified: 14 Mar 2024 21:47
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Contributors
Author:
Heather S. Packer
Author:
Luc Moreau
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