cff-version: 1.2.0
title: "LinkedSpending: OpenSpending becomes Linked Open Data"
message: >-
  If you use this dataset, please cite the Semantic Web Journal article.
type: dataset
authors:
  - given-names: Konrad
    family-names: Höffner
    email: konrad.hoeffner@uni-leipzig.de
    affiliation: >-
      Institute for Medical Informatics, Statistics
      and Epidemiology (IMISE), Leipzig, Germany
    orcid: 'https://orcid.org/0000-0001-7358-3217'
  - given-names: Michael
    family-names: Martin
    orcid: 'https://orcid.org/0000-0003-0762-8688'
    affiliation: >-
      Institute for Applied Informatics, Leipzig,
      Germany
  - given-names: Jens
    family-names: Lehmann
    affiliation: " \tAmazon (Germany), Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS, Institute for Applied Informatics (InfAI), TU Dresden, University of Bonn"
    orcid: 'https://orcid.org/0000-0001-9108-4278'
identifiers:
  - type: url
    value: https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-742429
    description: PhD thesis
  - type: doi
    value: 10.3233/SW-150172
    description: >-
      LinkedSpending: OpenSpending becomes Linked
      Open Data. Semantic Web Journal. 2016
repository-code: 'https://github.com/konradhoeffner/linkedspending'
url: 'https://linkedspending.aksw.org'
repository: >-
  https://github.com/konradhoeffner/linkedspending.aksw.org
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 data sets 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. 
preferred-citation:
  type: article
  authors:
  - given-names: Konrad
    family-names: Höffner
    email: konrad.hoeffner@uni-leipzig.de
    affiliation: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig, Germany
    orcid: 'https://orcid.org/0000-0001-7358-3217'
  - given-names: Michael
    family-names: Martin
    orcid: 'https://orcid.org/0000-0003-0762-8688'
    affiliation: >-
      Institute for Applied Informatics, Leipzig,
      Germany
  - given-names: Jens
    family-names: Lehmann
    affiliation: >-
      Amazon (Germany),
      Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS,
      Institute for Applied Informatics (InfAI),
      TU Dresden,
      University of Bonn
    orcid: 'https://orcid.org/0000-0001-9108-4278'
  doi: 10.3233/SW-150172
  journal: "Semantic Web Journal"
  start: 95
  end: 104
  title: "LinkedSpending: OpenSpending becomes Linked Open Data"
  issue: 1
  volume: 7
  year: 2016
  publisher:
    - name: IOS Press
keywords:
  - government
  - transparency
  - finance
  - open data
  - linked open data
  - rdf
  - public expenditure
  - openspending
license: MIT