Session 3: Semantic Web and knowledge graphs

Teacher: Alban Gaignard (alban.gaignard@univ-nantes.fr)

No background is required, please interact between participants and with teacher/helper.

Agenda

This session is planned Wednesday, the 31st of March at 9h30, for 3 hours with the following agenda:

• 9h30-10h30: introduction and applications of Knowledge Graphs for Life Sciences
• 10h30-11h30: RDF and SPARQL
• 11h30-12h30: LS ontologies and application in the context gene regulation networks

Practical instructions

Most of the hands-on sessions can be realized with online web resources/interfaces. Pen and paper will also be very important to draw knowledge graphs and draft graph patterns.

A basic python environment is enough to code. A convenient way of setting it up is to configure a conda environment. As soon as conda is installed on your machine, use the following commands to install RDFlib and Jupyter packages.

conda create --name dubii python=3.9 rdflib jupyter -c conda-forge

If you have troubles with conda, click on . This will launch a “virtual machine” on the cloud and give you an interactive Jupyter environment.

See you soon on Wednesday 31/03 at 9:30 !