README.md

web_datamining_and_semantics

ESILV - Web Datamining & Semantics - project 2022

Motivation

School Project from the Web Datamining & Semantics course, taught as part of the ESILV master's degree.

Main Objective

• Make a (Optional: Web) application that integrates different point of interest (POI) which are geospatial data from mutiple sources, including dynamic data.
• Define a knowledge model (that is, an ontology) that describes the types of entities that are stored in the knowledge base.
• Optional: Display information on Web pages together with structured data, for best search engine optimisation.

Solution

We created a web application allowing the user to search for all the forgotten objects of the French National Railway Company (SNCF).

Dataset/API used

Link :

• https://ressources.data.sncf.com/explore/dataset/objets-trouves-restitution/export/?sort=date

• https://ressources.data.sncf.com/explore/dataset/referentiel-gares-voyageurs/download/?format=csv&timezone=Europe/Berlin&lang=fr&use_labels_for_header=true&csv_separator=%3B

Setup

pip install requirements.txt

Usage

The installation is simple. Run app.py and go to localhost:5000 with a web browser.

Data is stored on the data repository of the project.

For the queries. Run queries.py.

In order to get data to rdf. Run get_data_to_rdf.py you just have to run the process once.