Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/91884
Title: Analysing and visualising parliamentary questions : a linked data approach
Other Titles: Semantic keyword-based search on structured data sources
Authors: Abela, Charlie
Azzopardi, Joel
Keywords: Parliamentary practice -- Data processing -- Malta
Interpellation -- Data processing -- Malta
Mobile apps -- Malta
Government publications -- Data processing -- Malta
Linked data
Issue Date: 2017
Publisher: Springer, Cham
Citation: Abela, C., & Azzopardi, J. (2017). Analysing and visualising parliamentary questions: a linked data approach. In J. Szymańsk, Y. Velegrakis (Eds.), Semantic Keyword-Based Search on Structured Data Sources. IKC 2017 (pp. 32-43). Lecture Notes in Computer Science, Vol. 10546. Springer, Cham.
Abstract: In many national parliaments, Members can exercise a basic Parliamentary function of holding the Executive to account by submitting Questions to Government Ministers. In certain parliaments, Members also have the faculty of either requesting a written answer or an oral one. Parliamentary Questions (PQs) often generate significant media attention and public interest, and are considered to be a very useful tool for parliamentarians to scrutinise the Government’s operative and financial administration. Interesting insights about individual Members of Parliament (MPs) as well as about the Parliament as a collective institution can be gleaned by analysing PQs. In this paper we present a linked data approach to PQs that is complemented with visualisations intended to increase the accessibility, by citizens, to this rich repository of parliamentary data. We use PQ data from the Maltese Parliament ranging over the last four legislatures and present an application called PQViz that exploits graph analytics to expose interesting insights from this data.
URI: https://www.um.edu.mt/library/oar/handle/123456789/91884
ISBN: 9783319744971
Appears in Collections:Scholarly Works - FacICTAI

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