ESILV - Web Datamining & Semantics - project 2022
School Project from the Web Datamining & Semantics course, taught as part of the ESILV master's degree.
- 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.
We created a web application allowing the user to search for all the forgotten objects of the French National Railway Company (SNCF).
Link :
pip install requirements.txt
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.