There is a high public demand to increase transparency in government spending. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is a an open platform that provides public finance data from governments around the world. In this article, we present its RDF conversion LinkedSpending which provides more than five million planned and carried out financial transactions in 627 datasets from all over the world from 2005 to 2035 as Linked Open Data. This data is represented in the RDF Data Cube vocabulary and is freely available and openly licensed.
%0 Journal Article
%1 linkedspending
%A Höffner, Konrad
%A Martin, Michael
%A Lehmann, Jens
%D 2015
%J Semantic Web Journal
%K Data MOLE Open OpenSpending RDF SIMBA budget expenditure finance group\_aksw hoeffner lehmann linkedspending martin public semantic transparency web
%R 10.3233/SW-150172
%T LinkedSpending: OpenSpending becomes Linked Open Data
%U http://www.semantic-web-journal.net/system/files/swj923.pdf
%X There is a high public demand to increase transparency in government spending. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is a an open platform that provides public finance data from governments around the world. In this article, we present its RDF conversion LinkedSpending which provides more than five million planned and carried out financial transactions in 627 datasets from all over the world from 2005 to 2035 as Linked Open Data. This data is represented in the RDF Data Cube vocabulary and is freely available and openly licensed.
@article{linkedspending,
abstract = {There is a high public demand to increase transparency in government spending. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is a an open platform that provides public finance data from governments around the world. In this article, we present its RDF conversion LinkedSpending which provides more than five million planned and carried out financial transactions in 627 datasets from all over the world from 2005 to 2035 as Linked Open Data. This data is represented in the RDF Data Cube vocabulary and is freely available and openly licensed.},
added-at = {2023-04-25T16:34:39.000+0200},
author = {H{\"o}ffner, Konrad and Martin, Michael and Lehmann, Jens},
bdsk-url-1 = {http://www.semantic-web-journal.net/system/files/swj923.pdf},
biburl = {https://www.bibsonomy.org/bibtex/2f532f2aebeaef4e6b1fbd9e1f993a673/dice-research},
doi = {10.3233/SW-150172},
interhash = {5af8fb87364343cc36e59e5461ac2b16},
intrahash = {f532f2aebeaef4e6b1fbd9e1f993a673},
journal = {Semantic Web Journal},
keywords = {Data MOLE Open OpenSpending RDF SIMBA budget expenditure finance group\_aksw hoeffner lehmann linkedspending martin public semantic transparency web},
timestamp = {2023-04-25T16:34:39.000+0200},
title = {{LinkedSpending}: {OpenSpending} becomes {Linked Open Data}},
url = {http://www.semantic-web-journal.net/system/files/swj923.pdf},
year = 2015
}