RWTH i5 Knowledge Graphs Lab

Welcome to the Knowledge Graphs Lab Jupyter Notebooks.

These introductions and exercises to possible frameworks are available as Opensource at github kgl-exercises

Usage

Clone the repository and run $ jupyter-lab this will start the jupyter lab environment in your browser.

Learning Goals

With these exercises we want to make sure that you are aquainted with some base technologies and tools that you might need later in the lab:

• Python
• Relevant Python Libraries
• Natural Language Processing
• Querying databases and Knowledge Graphs with SPARQL and SQL
• Wikidata

Notebooks

Framework Introductions

• pyLODStorage
• querying wikidata
• Natural Language Processing (nlp) with spacy
• location name resolving with geograpy3

Graph Database Introductions

• Neo4J
• Blazegraph

Useful Tools

• Wikidata-Taxonomy

Example Exercises

• chemistry

Used Libraries

• RDF in Jupyter
• geograpy3
• pyLODStorage
• tabulate
• spacy
• datashader
• pandas
• newspaper3k
• ipyleaflet
• hvplot