TY - GEN
T1 - Reliability analyses of open government data
AU - Ceolin, D.
AU - Moreau, L.
AU - O'Hara, K.
AU - Schreiber, G.
AU - Sackley, A.
AU - Fokkink, W.
AU - van Hage, W.R.
AU - Shadbolt, N.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84924742944&partnerID=8YFLogxK
UR - http://ceur-ws.org/Vol-1073/
M3 - Conference contribution
AN - SCOPUS:84924742944
T3 - CEUR Workshop Proceedings
SP - 34
EP - 39
BT - Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013)
PB - CEUR-WS.org
T2 - 9th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2013)
Y2 - 21 October 2013 through 21 October 2013
ER -