The Semantic Web project is a large and long practical exercise that
consists in integrating all the pieces that have been seen
during the first sessions into a consolidated Web application. To make sure you
can advance sufficiently fast to cover everything, you are
allowed to work by pair.
·
Make a Web application for
finding available bicycles, using open data from the bicycle sharing systems of
many cities.
·
Make it extensible to new
cities as easily as possible.
·
Extend the application to
provide availability of other smart city resources, such as parking places, carsharing services, etc.
·
Link the data with other
data sources, such as information on the public transport systems or touristic
data.
·
Do a little software
development, using Semantic Web programming frameworks
·
Setup and interact with an
RDF database
·
Exploit multiple sources of
heterogeneous data
·
Present information online
with rich metadata
The project starts on Wedneday 11th March
2020. You will be working on your project full time during the next two weeks.
On the 25th March
2020, you will present your work (8 min per pair of students). You
must deliver all your files at this date.
You will have the possibility to send me an updated version of your project
on the 30th March
2020 at the latest. This last delivery is optional, and the earlier
you deliver, the better.
Get open data about bicycle-sharing systems from as many cities as
possible. Here is a list of cities that have data on their bicycle-sharing
system:
Saint-Étienne
Données ouvertes de Saint-Étienne
Métropole
Lyon
Real-time
available. See also Grand Lyon data
portal.
Rennes
Real
time data. See also Rennes Métropoloe data portal.
Montpellier
Real
time data. See also OpenData Montpellier Métopole.
Strasbourg
Real time data.
See also Strasbourg open data.
Paris
Real
time data. See also Paris open data
portal.
You can find other data sets for bicycle-sharing systems all over the world
by consulting the list of
bicycle-sharing systems from Wikipedia. For France specifically, there is a list that contains more details. The open data portal
of the French government has data about many bicycle-sharing systems that you
can get by going to https://transport.data.gouv.fr/gbfs/city_name_lowercase/station_status.json. For instance https://transport.data.gouv.fr/gbfs/toulouse/station_status.json
for Toulouse. Bicycle-sharing systems that are operated
by company JC Decaux have data available using a
single API with URLs of the form https://api.jcdecaux.com/vls/v1/stations?contract=Cityname&apiKey=your_API_key. You need to register an API key to
use it.
Here is a list of steps that you have to do to have at least a minimal
application. You are free to do more in order to realise
the main objectives of the application, and make it user-friendly.
·
Setup a triplestore.
The simplest is to use Apache
Jena Fuseki, but you may also install a OpenLink's Virtuoso server (triplestore used by DBpedia in
its backend) or Blazegraph
(triplestore used by Wikidata)
or Stardog
(another commercial triplestore that has a free
version). A list
of triplestores is available on Wikipedia.
·
Define or reuse a
vocabulary for describing bicycle-sharing stations and their availability using
Protégé.
·
Convert static data about
the bicycle stations into RDF, and load the resulting data to the triplestore. You can simply generate an RDF file that you
load manually to the triplestore, or add the RDF
programmatically using SPARQL Update queries.
·
Make a website (or a GUI
application) that will allow one to select a city (in a list or on a map) and
get the availability of the bicycles, and bicycle stations. There resulting
list should be available in HTML with RDFa. You may
also make the data available in RDF (Turtle, RDF/XML, or JSON-LD) based on
content negotiation.
·
While the real time data may be generated on the fly, static data should be extracted
from the triplestore using a SPARQL query.
The previous steps constitute the bare minimal. You should then try to
extend your application by integrated other kinds of data. For example, you
may:
·
provide other kinds of
availabilities (make sure that you extend the vocabulary for this);
·
integrate other
transportation data (find bike stations nearest to train station) or other geospatial
data;
·
add information on the
prices, street addresses, etc.;
·
store the history of
availabilities, and provide statistics;
·
use weather or air quality data as well;
·
provide a trip planning
functionality (go from Place 1 to Place 2 by taking the available
bike closest to Place and bringing it to the station with available
space, closest to Place 2).