Linked Data for IATI

From Master Projects
Jump to: navigation, search


has title::Linked Data for IATI
status: finished
Master: project within::Knowledge Technology and Intelligent Internet Applications
Student name: student name::Kasper Brandt
Dates
Start start date:=2013/02/24
End end date:=2013/08/01
Supervision
Supervisor: Victor de Boer
Second supervisor: Christophe Guéret
Second reader: has second reader::Stefan Schlobach
Company: has company::VU
Thesis: has thesis::Media:http://wiki.cs.vu.nl/mp/images/3/31/Linked_Data_for_IATI.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



..................................

Abstract

It is widely recognised that the effectiveness of aid can be improved by providing transparant 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 for publishing their aid activities in this standard. We propose a thesis in which a conversion of the IATI data to RDF will be created, in order to add the IATI data to the Linked Open Data (LOD) cloud. Furthermore, we propose looking into enrichments of the data by extracting information from the IATI data itself and by linking the IATI data to external datasets within the LOD cloud. Finally, we propose making a tool which visualizes the IATI data in context, showing the added value of linking the IATI data to the LOD cloud and enriching the data.

Abstract KIM 1

In this presentation, I will be presenting my research proposal and preliminary planning of the project. A general background will be given on Linked Data, information enrichment and data visualization. Furthermore, I will discuss the methods that will be employed in this study and the general objectives of this study.

Abstract KIM 2

It is widely recognised that the effectiveness of aid can be improved by providing transparant 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 and converted the open data to Linked Data. In order to show the added benefits of Linked Data, we have linked the IATI dataset to various other datasets such as World Bank indicators and DBPedia information. Finally, we have created several applications which combine the information from the IATI dataset and the datasets it was linked to. These applications and the description of the model can be found on http://iati2lod.appspot.com. 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 is able to fulfill the needs of IATI users. Our approach and requirements are reusable for converting an open dataset to a Linked Data model in general. However, our implementation is completely customized for the IATI dataset.

The final thesis is located here: http://wiki.cs.vu.nl/mp/images/3/31/Linked_Data_for_IATI.pdf