Data Transformation & Data Organization

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RDF Knowledge Graphs ๐ŸŒ can be pretty abstract objects to understand and discover ๐Ÿ”Ž. Imagine you get a new RDF dataset and you want to understand what it contains.


You have different options:[edit | edit source]
  1. You open it in you editor and you check directly ๐Ÿ‘จโ€๐Ÿ’ป. While this is fast it is for sure not handy ๐Ÿ˜•.
  2. You index it in your favourite SPARQL endpoint ๐Ÿค“. This is already better but also can be a pain ๐Ÿค”.
  3. You make a Question Answering โ“๐Ÿ’ก system out of it. Then you get autocompletion, facet search over it. QA is a great way to explore your dataset ๐Ÿ˜ƒ!


ExplainabilityFile:Data transformation.e67ab768.mp4

As an example we take a taxonomy that is published by the publication Office about corporate bodies. You can find the screenshots attached.

You want to try with your own dataset. Visit: QAnswer


Stay tuned,The QA Company