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WMC Tutorial - A Practical Guide to Knowledge Graph Construction from Technical Short Text

This is the repository for Knowledge Graph Construction workshop by the University of Western Australia (supported by the Centre for Transforming Maintenance through Data Science (CTMTDS)) at World Mining Congress 2023 in Brisbane.

Introduction to Knowledge Graphs

The first half of the workshop is an overview of knowledge graphs. The slides for this session are included in this repository (Knowledge Graphs.pdf).

Building Knowledge Graphs from Unstructured Text

The latter half of the workshop is a walkthrough of a Jupyter notebook (WMC.ipynb) containing code for creating a knowledge graph from a set of sample work orders.

You can open the file and view it here on GitHub. To run this code yourself you will need Python 3 and Jupyter Notebook installed.

Note that you will need Neo4j Desktop installed for Sections 4 and 5 of the notebook. You can download it here. Once you have downloaded it, you will need to run Neo4j and create a new graph database, and run that database. Further instructions are provided in the notebook.

Contact

If you are interested in this workshop being run for your organisation, please contact Michael Stewart at michael.stewart [at] uwa [dot] edu [dot] au.

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  • Jupyter Notebook 81.0%
  • Python 19.0%