Giulia Renda, Marilena Daquino (2023). Storytelling with Linked Open Data. In La memoria digitale: forme del testo e organizzazione della conoscenza. Atti del XII Convegno Annuale AIUCD. Siena: Università degli Studi di Siena. https://zenodo.org/doi/10.5281/zenodo.8070707
@book{giuliarenda_marilenadaquino_pieterjan de potter_melodyeditor_2023, title={polifonia-project/dashboard: v1.0.0}, url={https://zenodo.org/doi/10.5281/zenodo.6637345}, DOI={10.5281/ZENODO.6637345}, abstractNote={Code refactoring: Flask and React (client-side only).
Templates are merged into a single one (statistics) which now includes charts, free-text descriptions, maps, and interactive searches.}, publisher={Zenodo}, author={giuliarenda and marilenadaquino and Pieterjan De Potter and melodyeditor}, year={2023}, month={Oct} }
MELODY - Make mE a Linked Open Data StorY is a dashboarding system that allows users familiar with Linked Open Data to create web-ready data stories.
Authenticate with GitHub to create a new story.
Access data from any SPARQL endpoint.
Select the layout template of your story.
Include charts, sections, filters, and descriptions.
Preview the final data story while creating it.
Embed or export your data story and single charts in several formats.
See the full documentation at https://polifonia-project.github.io/dashboard/.
Quickstart
Step #1 - Get the source code
Download the ZIP
Use GIT tool in the terminal/powershel/bash to clone the source code
Step #2 - Set up the environment
Python3 should be installed properly in the workstation. If you are not sure if Python is
properly installed, please open a terminal and type python –version.
Enter the project folder using the terminal/powershel/bash.