https://github.com/staylorx/sparql_tutorial

This is the very fine Jena SPARQL tutorial using Python notebooks, and using the results as Panda's DataFrames.
https://github.com/staylorx/sparql_tutorial

graphs ontology pandas python rdflib sparql tutorial

Last synced: 8 months ago
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This is the very fine Jena SPARQL tutorial using Python notebooks, and using the results as Panda's DataFrames.

• Host: GitHub
• URL: https://github.com/staylorx/sparql_tutorial
• Owner: staylorx
• License: apache-2.0
• Created: 2020-06-05T21:31:14.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-19T19:29:07.000Z (almost 3 years ago)
• Last Synced: 2025-03-26T04:28:06.712Z (11 months ago)
• Topics: graphs, ontology, pandas, python, rdflib, sparql, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 55.7 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# sparql_tutorial

This is the Jena SPARQL tutorial updated using Python notebooks and using the results as Panda's DataFrames.

A fairly comprehensive tutorial on using SPARQL in Python, including,

- Converting the SPARQL request into a Pandas DataFrame. It's turning out to be a lot easier to manipulate the dataframe outside of the SPARQL query that inside it.

- Loading a graph via data and strings instead of files.

- A very good list of FILTER, UNION, GRAPH, etc... which I can take no credit for. This is a copy of the Apache Jena tutorial found here: https://jena.apache.org/tutorials/sparql.html

This does need some work in the conjunctive graph space.