Car station

A4 ESILV - WEB DATAMINING AND SEMANTICS
Amar Merwan CHELOUAH - Kévin CELIE - Mariyam CHEICK ISMAIL

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How to use

As the project is hosted in a web server, just click in the link.
It takes some time, so don't worry, and wait few minutes :)
Once the web page is loaded, you can either choose to use your location or not. Then, you will be able to see all stations.
For development purposes, we have decided to limit our main query to 500 results.

You can click on the left panel where there are all the results. It will show you the selected car station.
You can also filter by type of car: either thermic or electric. And also, you can enter a zipcode in the search bar.

Demonstration video

Click here to watch the video

How to install

There is nothing to install as everything is online.

If you want to have a copy of the code, you can :

• Fork this repo

OR

• Clone this repo : git clone https://github.com/m-cheicki/WEBSEM_car_station.git
• In the shell, go into the repository using cd PATH_TO_REPO
• Install necessery packages by running the following command in the shell pip install -r requirements.txt
• Open server.py file in your favorite code editor/IDE
• Go at the end of the file, uncomment the two last lines in order to have :

if __name__ == '__main__':
    app.run(port="5000", debug=True)

• Run the server by typing python server.py
• Open a web browser like Chrome and go to this URL: http://localhost:5000/
• Wait few seconds, and here you are! The app is loading

NOTE : As the server has the version 3.8.6 of Python we strongly recommand to have 3.8 or higher

Our APIs

To realise this project we have used two APIs :

• Electric car stations
• Thermic car stations

The first one gives us more than 20,000 entries and the second one around 10,000 which gives us a total of 30,000 data approximatively.

Our ontology

Our ontology is available here. You can download it here.

Structure

• contexts contains our APIs context for JSON-LD
• JSONLD.py is a file that parse our API into a JSON-LD using its context defined in the context folder
• Queries.py is a file with our SPARQL queries
• static and templates are folder used by Flask

All images and icons are made with ❤ by us