component-id	type	name	description	work-package	project	resource	demo	release-date	release-number	release-link	doi	changelog	licence	contributors	related-components	bibliography
melody-software	WebApplication	MELODY	MELODY is a dashboarding system for designing and publishing data stories based on Linked Open Data.	WP1	polifonia-project	https://github.com/polifonia-project/dashboard/releases	https://projects.dharc.unibo.it/melody/	2022/05/12	v0.1.1	https://github.com/polifonia-project/dashboard/releases/tag/v0.1.1	10.5281/zenodo.6637345	https://github.com/polifonia-project/dashboard/releases/latest	IscLicense	Marilena Daquino <https://github.com/marilenadaquino> Giulia Renda <https://github.com/mondoboia>	serves broadcast-concerts-knowledge-graph led meetups-knowledge-graph musicbo-knowledge-graph bells-knowledge-graph musow-dataset documentation melody-prototypes	main-publication:"Giulia Renda, Marilena Daquino, and Valentina Presutti (2023). Melody A Platform for Linked Open Data Visualisation and Curated Storytelling. In Proceedings of the 34th ACM Conference on Hypertext and Social Media (HT '23). Association for Computing Machinery, New York, NY, USA, Article 27, 1–8. https://doi.org/10.1145/3603163.3609035" publication 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

Polifonia Dashboard

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

1. 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.
2. Enter the project folder using the terminal/powershel/bash.
3. Install modules using a Virtual Environment

#MacOS/Linux
$ cd myproject
$ python3 -m venv venv
$ . venv/bin/activate

#Windows
> cd myproject
> py -3 -m venv venv
> venv\Scripts\activate

Step #3 - Install requirements

pip install -r requirements.txt

Step #4 - Run the application

#bash
$ export FLASK_APP=app
$ flask run
* Running on http://127.0.0.1:5000/

#CMD
> set FLASK_APP=app
> flask run
* Running on http://127.0.0.1:5000/

#Powershell
> $env:FLASK_APP = "app"
> flask run
* Running on http://127.0.0.1:5000/

MELODY is part of Polifonia H2020 project (described in Deliverable 1.9). Cite this repository as follows:

Renda Giulia, and Marilena Daquino. (2022). MELODY: Beta release (v0.1.1). DOI: 10.5281/zenodo.6637346