Crowdsourcing data citation graphs using provenance
Crowdsourcing data citation graphs using provenance
In this paper we describe a tool designed to support crowdsourcing a-posteori provenance information about the datasets used in research publications. It generates PROV data both to capture the data citation graphs via an extension to the PROV Data Model, and the crowdsourcing process via prov:bundles.
Dragan, Laura
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Luczak-Rösch, Markus
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Simperl, Elena
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Berendt, Bettina
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Moreau, Luc
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Dragan, Laura
6d28687f-4aa8-43cc-90dd-7be7381b35e5
Luczak-Rösch, Markus
6cfe587f-e02c-48e8-b2b8-543952ab50a7
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Berendt, Bettina
191543ac-805e-4209-b84c-7d8c42ced4c1
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Dragan, Laura, Luczak-Rösch, Markus, Simperl, Elena, Berendt, Bettina and Moreau, Luc
(2014)
Crowdsourcing data citation graphs using provenance.
Provenance Analytics (ProvAnalytics2014), Cologne, Germany.
09 Jun 2014.
4 pp
.
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Conference or Workshop Item
(Paper)
Abstract
In this paper we describe a tool designed to support crowdsourcing a-posteori provenance information about the datasets used in research publications. It generates PROV data both to capture the data citation graphs via an extension to the PROV Data Model, and the crowdsourcing process via prov:bundles.
Text
provanalytics2014.pdf
- Accepted Manuscript
Available under License Other.
More information
Submitted date: 11 May 2014
e-pub ahead of print date: 9 June 2014
Venue - Dates:
Provenance Analytics (ProvAnalytics2014), Cologne, Germany, 2014-06-09 - 2014-06-09
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 365374
URI: http://eprints.soton.ac.uk/id/eprint/365374
PURE UUID: 13737c0f-448a-4d06-92ca-7a34aebadf83
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Date deposited: 03 Jun 2014 10:54
Last modified: 14 Mar 2024 16:52
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Contributors
Author:
Laura Dragan
Author:
Markus Luczak-Rösch
Author:
Bettina Berendt
Author:
Luc Moreau
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