Hippolyta
a framework to enhance open data interpretability and empower citizens
Raissa Barcellos (Federal University Fluminense (UFF))
Flavia Bernardini (Federal University Fluminense (UFF))
Jose Viterbo (Federal University Fluminense (UFF))
A.M.G. van Eijk (TU Delft - Information and Communication Technology)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Open government data initiatives have been rising quickly in recent times. They are encouraged by a wish to democratize data access and knowledge production and enhance cities socially and economically. The hardship of interpreting data can be considered an obstacle to using open government data and more prominent citizen engagement. Technology is crucial to enhance data interpretability and the practical construction of an open government. Nevertheless, the literature needed an instrument to support open government data's interpretability. In this work, our primary goal is to present the definition, implementation, and evaluation of a framework named Hippolyta, which is qualified to help citizens to interpret open government data. Hippolyta first identifies the citizen's necessities using a semantic enrichment module. After this step, the framework conducts the data collection through the same data retrieval module. Finally, Hippolyta creates a graphic visualization through a data visualization module. This study is relevant since it furnishes comprehensive insights into what the open data interpretability concept is composed of and which framework modules can sustain open data interpretation.