Describing the nature of legislation through roll call voting in the Chilean National Congress, a linked dataset description

Tracking #: 2749-3963

This paper is currently under review
Authors: 
Francisco Cifuentes-Silva
Felipe Rivera-Polo
Jose Emilio Labra-Gayo
Hernán Astudillo

Responsible editor: 
Katja Hose

Submission type: 
Dataset Description
Abstract: 
This article shows the dataset and Semantic Web model that includes ontologies, RDF Shape expressions and URI patterns for describing bills and roll call voting of bills (legislation), processed by the Library of the Chilean National Congress during the last three decades (1990 - 2020). The data includes over 1,2 million RDF triples about voting events belonging to more than 2.700 bills, related to more than 500 distinct Chilean Members of Congress. The dataset is integrated with others, such as those about parliamentary biographies, legal norms, bills, and debates from sessions. The dataset offers a public SPARQL endpoint which allows to develop different analysis. As an example, we present an exploratory analysis about polarity and political alignment metrics, verifying that it is possible to establish quadrants to classify the nature of bills into four categories defined by: I) Ideological stance (high polarization, high alignment), II) Personal interests (high polarization, low alignment), III) Sectoral interest (low polarization, low alignment) and IV) Technical consensus (low polarization, high alignment).We have identified that in each quadrant there is a co-existence of bills related to underlying topics, evidencing that voting is not totally governed by ideological factors. This type of information is relevant to describe the political scene and to carry out more in-depth studies in political science, establishing mechanisms that allow to optimize the legislative process, promoting more efficient parliamentary work, increase transparency and helping to improve the image of Congress and its members by the citizens.
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Under Review