With this spirit of exploring text data in different ways in mind, I have been working on KGL, a query language for knowledge graphs. Using GPT, I ingested my personal website into semantic ("subject, predicate, object") triples. I then turned these into a graph that I could query.
KGL is designed for unstructured data, whereas RDF was designed for explicitly structured data (and thus suffers from significant verbosity that is not necessary for my application). SPARQL, which is used to query RDF, is similarly complex. SPARQL as conducive to play, the intent for this language.
The language is processed as pointers between concepts, like:
{ taylor swift -> created }!
You can create queries of arbitrary length, like:
{ taylor swift -> created -> have }
Demo video: https://jamesg.blog/assets/kgl-interpreter-demo.mp4
Playground with which you can experiment: https://jamesg.blog/kgl/