ekg-tutorial

Sample code to use knowledge graphs to represent dialogue

Description

This repository contains Jupyter notebooks that showcase how to turn dialogue into an RDF graph representation.

Getting started

Prerequisites

1. This repository uses Python >= 3.8 . Be sure to run in a virtual python environment (e.g. conda, venv, mkvirtualenv, etc.). For example:

   conda create --name ekg-tutorial python=3.8
   conda activate ekg-tutorial

2. You need to download and run GraphDB Free. Please create a repository called sandbox.

Installation

1. In the root directory of this repo run

   pip install -r requirements.txt
   python -m ipykernel install --name=ekg-tutorial

Usage

You may run any of the notebooks by launching the Jupyter Notebook interface:

jupyter notebook 

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Authors

• Selene Báez Santamaría