Reliability analyses of open government data

D. Ceolin, L. Moreau, K. O'Hara, G. Schreiber, A. Sackley, W. Fokkink, W.R. van Hage, N. Shadbolt

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)
3 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationProceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013)
PublisherCEUR-WS.org
Pages34-39
Number of pages6
Publication statusPublished - 2013
Externally publishedYes
Event9th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2013) - Sydney, Australia
Duration: 21 Oct 201321 Oct 2013

Publication series

NameCEUR Workshop Proceedings
Volume1073
ISSN (Print)1613-0073

Conference

Conference9th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2013)
CountryAustralia
CitySydney
Period21/10/1321/10/13

Fingerprint Dive into the research topics of 'Reliability analyses of open government data'. Together they form a unique fingerprint.

Cite this