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.
|ACM International Conference Proceeding Series
|24th Annual International Conference on Digital Government Research - Together in the Unstable World: Digital Government and Solidarity, DGO 2023
|11/07/23 → 14/07/23
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
- Data Interpretability
- open data