I'm still not a fan of trying to tell machines about the meaning of natural language elements. Doing useful things with the information is equivalent to natural language processing, which is a hard problem. I once found a completely marked-up English dictionary and thought Oh, this will make it easy for the computer to understand English. Ha ha ha no. What the mark-up nerds call semantics turns out to be a microscopic subset of the full semantics.
What is useful is marking up the structure of documents. Knowing what the title is and where the sections are turns out to be useful for search scoping, even if the machine has no idea what the title means.
I'm still not a fan of trying to tell machines about the meaning of natural language elements. Doing useful things with the information is equivalent to natural language processing, which is a hard problem. I once found a completely marked-up English dictionary and thought Oh, this will make it easy for the computer to understand English. Ha ha ha no. What the mark-up nerds call semantics turns out to be a microscopic subset of the full semantics.
What is useful is marking up the structure of documents. Knowing what the title is and where the sections are turns out to be useful for search scoping, even if the machine has no idea what the title means.