These are definitely interesting things that semantic web influenced, but they're definitely not what semantic web aspired to be. The differences are a good laundry list of things that make standardized data models viable in the wild:

They are organized around use cases, not data origins. They are opt-in, rather relying on distribution via some discovery standard. They are only used by subsets of the industry they serve, and that's ok. They aren't integrated with regulation in ways that force their use. (list continues)