Linked Data Hands-on
This document serves as a guide on how to deliver the specific training activity.
Jupyter notebook with some Python and SPARQL code to make test queries to DBpedia and Wikidata.
Activity duration
45-60 minutes
Number of people that it can be performed with
For managing on-site student and be supported by one teacher, up to 30 people. Online, depending on how many people can support the students.
Goal of activity
Discover SPARQL language under a Python environment to make some queries
Materials
- Internet connection
- Jupyter notebook
- Jupyter environment (Google colab, binder, etc.)
Instructions
Duration | Topic | Key points/Teaching Method/Questions | Activities | Resources |
---|---|---|---|---|
20 mins | Basic Queries | Guided | Jupyter, SPARQL endpoint | |
20 mins | Level II Queries | Guided | Jupyter, SPARQL endpoint | |
20 mins | Display results | Guided | Jupyter, SPARQL endpoint | |
30 mins | Self-practicing | Proposal of some questions to be solved | exercise or activity | Jupyter, SPARQL endpoint |
Related sources
- Slides
- Jupyter Notebook
- Open the Jupyter Notebook directly on Binder