I’m very new to Knowledge Graphs and I would like to learn a bit about them. I’ve done some research and from what I see, the first step would be to generate triplets. Then, the actual graph needs to be trained. Finally, there’s the issue of querying and visualizing the graph. Is this interpretation correct?

Are there any python packages that can help with building my own KG? I have not been too successful in finding clear resources, so anything would be helpful. If the approach is built around spaCy, even better!

Use case: I have a decent dataset of news articles and embeddings. Would like to take advantage of the dataset and learn a new skill in the meantime.

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Thanks!

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Edit with resources I’ve found:
Nice (theoretical) slides: https://kgtutorial.github.io/