Linked Data for the International Aid Transparency Initiative
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It is widely recognized that the effectiveness of aid can be improved by providing transparent insight into aid activities. The International Aid Transparency Initiative (IATI), a multi-stakeholder initiative that seeks to improve the transparency of aid, has developed an open standard for the publication of aid information. As of 2013, over 150 donors, NGOs and governments have registered to the IATI registry by publishing their aid activities in this XML standard. Taking the IATI model as an input, we have created a Linked Data model based on requirements elicitated from qualitative interviews using an iterative requirements engineering methodology. We have converted the IATI open data from a central registry to Linked Data and linked it to various other datasets such as World Bank indicators and DBpedia information. This dataset is made available for re-use at http://semanticweb.cs.vu.nl/iati/. To demonstrate the added value of this Linked Data approach, we have created several applications which combine the information from the IATI dataset and the datasets it was linked to. As a result, we have shown that creating Linked Data for the IATI dataset and linking it to other datasets give new valuable insights in aid transparency. Based on actual information needs of IATI users, we were able to show that linking IATI data adds significant value to the data and enables fulfilling the needs of IATI users.
KeywordsLinked Data Data enrichment Linked Data applications ICT 4 development Open development Aid transparency data
We would like to thank Tim Davies for his help on the Linked Data model and general explanations of the IATI model. We thank Christophe Guéret and Paul Groth for their feedback on the model. Finally, we thank Siem Vaessen and Vincent van ’t Westende for their thoughts on and explanations of the IATI model.
- 2.Bizer C, Heath T, Idehen K, Berners-Lee T (2008) Linked data on the web. In: Workshop at the 17th international world wide web conference, BeijingGoogle Scholar
- 4.Ding L, DiFranzo D, Graves A, Michaelis J, Li X, McGuinness DL, Hendler J (2010) Data-gov Wiki: towards linking government data. In: AAAI spring symposium: linked data meets artificial intelligence, vol 10, pp 1–1Google Scholar
- 7.Hartig O, Zhao J (2010) Publishing and consuming provenance metadata on the web of linked data. In: Provenance and annotation of data and processes. Springer, Berlin, pp 78–90Google Scholar
- 9.Jentzsch A, Isele R, Bizer C (2010) Silk-generating RDF links while publishing or consuming linked data. In: ISWC Posters&Demos. CiteseerGoogle Scholar
- 10.Lemmens R, Kessler C (2014) Geo-information visualizations of linked data. In: Proceedings of the 17th AGILE conference on geographic information science, 3–6 June 2014, Castelln, SpainGoogle Scholar
- 11.Loucopoulos P, Karakostas V (1995) System requirements engineering. McGraw-Hill, Inc., New YorkGoogle Scholar
- 12.Moon S, Williamson T (2010) Greater aid transparency: crucial for aid effectiveness. Overseas Development Institute project briefingGoogle Scholar
- 13.Rodriguez MA (2009) A graph analysis of the linked data cloud. arXiv preprint. arXiv:0903.0194
- 14.Capadisli SA, Riedl R (2013) Linked statistical data analysis. http://stats.270a.info/. Submission to the 2013 Semantic Web Challenge http://csarven.ca/linked-statistical-data-analysis
- 15.Shadbolt N (2010) Why Open Government Data? lessons from data. gov. ukGoogle Scholar
- 16.Volz J, Bizer C, Gaedke M, Kobilarov G (2009) Discovering and maintaining links on the web of data. In: The semantic web-ISWC 2009. Springer, Berlin, pp 650–665Google Scholar