Topic maps truly provide a straightforward organizational metaphor. The foundational topic maps concept —comprising topics, occurrences, and associations— achieves a balance between simplicity and clarity while offering sufficient structure. This allows you to effectively translate your mental model of a domain into a corresponding topic map representation.
As for the usefulness of the Topic Maps, Mind Maps and ontologies in general... they are useful instantly for the person who composes them as a way to organize thoughts. Pretty much what Notion, Evernote etc are doing, but with much less elegance.
They are utterly useless as a way to share knowledge.
Also, even 20 years ago, the field was full of old farts wasting everyone's time and consuming salaries. I doubt it changed for better.
How so? Facebook's graph is implemented as a a triplestore where the edges have values rather than entity-relationship of traditional DBMS. GraphQL also exists.
Maybe RDF and getting humans to structure their statistics, transactions, memories, and annotated knowledge rigidly and methodically in a universally-composable manner was a "failure", but now LLMs have the potential to transform freeform content such as from web pages or APIs for us automatically in both materialized and presentation forms that would be mechanically-consumable.