LinkedSpending contains government spendings from all over the world as Linked Data. LinkedSpending uses the information collected by the
and makes it available as an RDF knowledge base according to the Linked Data principles. Just follow the examples on the right or discover the data by yourself!
Transparency into government spending is in high demand from the public.
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 is more likely to commit to large projects.
We present LinkedSpending which provides more than 2 million planned and carried out financial transactions from all over the world from 2005 to 2035 as Linked Open Data.
This data is represented in the RDF data cube format and is freely available and openly licensed.
Apart from to standard vocabularies such as
, the datasets are modelled, first and foremost, according to the RDF Data Cube vocabulary
. LinkedSpending follows the RDF Data Cube recommendation to make heavy use of the model of the
Statistical Data and Metadata eXchange (SDMX) initiative
for measures, attributes and dimensions. The deep structure of the datasets is very heterogeneous but there are some properties which are commonly specified and thus modelled with established vocabularies. The year and date, a dataset and an observation refer to, respectively, is expressed by
and XSD. Dates are handled by the XSD vocabulary, currencies are taken from DBpedia and countries are represented using the vocabulary of
, which is the main hub for spatial linked data.
This dataset (http://linkedspending.aksw.org/
) was triplified and published by the research group
AKSW (Agile Knowledge Engineering and Semantic Web)
and uses a part of the RDF Data Cube schema visualized in the folowing depiction:
Download the Data
This RDF version of the dataset is published under PDDL 1.0.
If you want to download a dump of the dataset click one of the following items. We will regularily publish new dumps in case that OpenSpending publishes new datasets. The benchmark datacubes will not be updated to guarantee the reproducibility of benchmark results.
If you have further questions about LinkedSpending, feel free to contact us: