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This could be just like Discourse Graph’s default ontology (types: questions, claims, evidence, etc. relationships: supports, opposes, informs, etc)
for example, a general ontology may be like Joel Chan’s Discourse Graph (types: question, claim, evidence, etc.. relationships: supports, opposes, informs, etc)
I have a rough proposal for how to do this in a way that is similar to Joel Chan’s Discourse Graph here: Building a knowledge graph in Logseq