For professional needs? To enhance searchability or discoverability? For archiving? They enjoy it? But they tend to come up with their own classification schem

For professional needs? To enhance searchability or discoverability? For archiving? They enjoy it? But they tend to come up with their own classification schemes. The idea of a interoperable semantic web wasn't a bad one, there just was no real presentation layer for it, and no popular demand for it without one. However Amazon, Spotify, libraries, etc. classify their stuff internally, to their eventual end-users, the data is transformed into a HTML or app frontend of their design. Users don't see the underlying classification schema, just the product pages or book search or whatever. Sure, you could probably use XSLT to transform a semantic document into pretty HTML, but most companies went the other way of using custom code to read data and output unstructured markup, because it was easier and faster. HTML and JS "standards" evolved way quicker than RDF could keep up with. Beyond that, had there been a web-wide search engine that could easily let you search by classifications, microdata might've been helpful. But that never became popular. Closest thing I know of is Wolfram Alpha, and that uses its own algorithms and classifications too. shrug What do you think?