I worked on the Semantic Web, designing core data infrastructure, back when it was still hot. It disappeared because it had two fatal flaws: it was intrinsically non-scalable, both conceptually and technically. First, there is no universal "semantic". The meaning of things is ambiguous, and given a broad enough pool of people and cultural contexts, it becomes nigh impossible to converge on a single consistent model f…
It sounds like the Semantic Web failed because we tried treating a longstanding (and possibly unresolvable) ontological problem as a straightforward and technical one.
I don’t really follow academic philosophy, but is it known these days if such categorisation problems are even “solvable” in the general case?