Is your "difference" that you focus on user generated questions, and take it from there? (hierarchical) vs default is focus on topic? (and not map/hierarchical)
What happens with/when sources contradict each other?
The difference is that the taxonomy is shaped by how users actually categorize and seek information (from card sorting and usability research), not how experts organize it or how documents happen to be structured. The goal is to match the structured data with the questions students actually ask.
This also would mean a single, structured source of truth rather than dumping a bunch of documents (that may contradict themselves) into AI and hoping it figures it out. That requires human work that prioritizes and structures the information in collaboration with AI.
Is your "difference" that you focus on user generated questions, and take it from there? (hierarchical) vs default is focus on topic? (and not map/hierarchical)
What happens with/when sources contradict each other?
Good questions!
The difference is that the taxonomy is shaped by how users actually categorize and seek information (from card sorting and usability research), not how experts organize it or how documents happen to be structured. The goal is to match the structured data with the questions students actually ask.
This also would mean a single, structured source of truth rather than dumping a bunch of documents (that may contradict themselves) into AI and hoping it figures it out. That requires human work that prioritizes and structures the information in collaboration with AI.