Reliability analyses of Open Government Data
Reliability analyses of Open Government Data
Public authorities are increasingly sharing sets of open data. These data are often preprocessed (e.g. smoothened, aggregated) to avoid to expose sensible data, while trying to preserve their reliability. We present two procedures for tackling the lack of methods for measuring the open data reliability. The first procedure is based on a comparison between open and closed data, and the second derives reliability estimates from the analysis of open data only. We evaluate these two procedures over data from the data.police.uk website and from the Hampshire Police Constabulary in the UK. With the first procedure we show that the open data reliability is high despite preprocessing, while with the second one we show how it is possible to achieve interesting results concerning the open data reliability estimation when analyzing open data alone.
364241334X
Ceolin, Davide
51d8eaac-ba0e-4c31-92f3-f42ae2608409
Moreau, Luc
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O'Hara, Kieron
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Schreiber, Guus
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Sackley, Alisatair
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Fokkink, Wan
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van Hage, Willem Robert
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Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
22 October 2013
Ceolin, Davide
51d8eaac-ba0e-4c31-92f3-f42ae2608409
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
O'Hara, Kieron
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Schreiber, Guus
9e32bb8d-73d6-4811-9878-788c24152cfd
Sackley, Alisatair
6f2f93c9-56b3-4af3-9843-4b7ceab55909
Fokkink, Wan
f275d6aa-d270-49dd-817b-fa2f328ff1f0
van Hage, Willem Robert
f88e7a62-d797-4330-85bb-2a51476c52b4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Ceolin, Davide, Moreau, Luc, O'Hara, Kieron, Schreiber, Guus, Sackley, Alisatair, Fokkink, Wan, van Hage, Willem Robert and Shadbolt, Nigel
(2013)
Reliability analyses of Open Government Data.
Uncertainty Reasoning Workshop at ISWC 2013, Sydney, Australia.
21 - 25 Oct 2013.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Public authorities are increasingly sharing sets of open data. These data are often preprocessed (e.g. smoothened, aggregated) to avoid to expose sensible data, while trying to preserve their reliability. We present two procedures for tackling the lack of methods for measuring the open data reliability. The first procedure is based on a comparison between open and closed data, and the second derives reliability estimates from the analysis of open data only. We evaluate these two procedures over data from the data.police.uk website and from the Hampshire Police Constabulary in the UK. With the first procedure we show that the open data reliability is high despite preprocessing, while with the second one we show how it is possible to achieve interesting results concerning the open data reliability estimation when analyzing open data alone.
Text
paper6.pdf
- Accepted Manuscript
More information
Published date: 22 October 2013
Venue - Dates:
Uncertainty Reasoning Workshop at ISWC 2013, Sydney, Australia, 2013-10-21 - 2013-10-25
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 357160
URI: http://eprints.soton.ac.uk/id/eprint/357160
ISBN: 364241334X
PURE UUID: 646850b0-44bc-4c2b-a9ae-1ea8b3f766e8
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Date deposited: 20 Sep 2013 13:06
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
Davide Ceolin
Author:
Luc Moreau
Author:
Guus Schreiber
Author:
Alisatair Sackley
Author:
Wan Fokkink
Author:
Willem Robert van Hage
Author:
Nigel Shadbolt
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