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Reliability analyses of Open Government Data

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 be-
tween 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 Po-
lice 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
033c63dd-3fe9-4040-849f-dfccbe0406f8
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
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
51d8eaac-ba0e-4c31-92f3-f42ae2608409
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
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, 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 be-
tween 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 Po-
lice 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.

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More information

Published date: 22 October 2013
Venue - Dates: Uncertainty Reasoning Workshop at ISWC 2013, Australia, 2013-10-21 - 2013-10-25
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 357160
URI: https://eprints.soton.ac.uk/id/eprint/357160
ISBN: 364241334X
PURE UUID: 646850b0-44bc-4c2b-a9ae-1ea8b3f766e8
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X
ORCID for Kieron O'Hara: ORCID iD orcid.org/0000-0002-9051-4456

Catalogue record

Date deposited: 20 Sep 2013 13:06
Last modified: 07 Aug 2019 00:50

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