TBL/W3C felt like the next big upgrade for humanity would be AI that could understand the web. To achieve that, you need web pages to be encoded in the form of logical triples. Cyc used a custom lisp-ish language called CycL to do that, RDF was the same concept but 'web-ified' i.e. using XML and URIs for everything.

Of course that approach never took off. Even by 2003 Google was starting to master machine learning techniques like scalable logistic regression, the webbiest of web companies just didn't care about this symbolic AI approach at all because in reality nobody was using it. Too complicated, too abstract, no tools or cool demos. Pure vapourware in other words. GPT-3 has now shown that you don't need everyone to learn new syntaxes or predicate logic to train AI on the web. You can rely purely on statistical techniques and neural networks.