world of artificial intelligence, who have taken it as another opportunity to promote their life’s work.
Instead of the “let’s just build something that works” attitude that made the Web (and the Internet) such a roaring success, they brought the formalizing mindset of mathematicians and the institutional structures of academics and defense contractors. They formed committees to form working groups to write drafts of ontologies that carefully listed (in 100-page Word documents) all possible things in the universe and the various properties they could have, and they spent hours in Talmudic debates over whether a washing machine was a kitchen appliance or a household cleaning device.
With them has come academic research and government grants and corporate R&D and the whole apparatus of people and institutions that scream “pipedream.” And instead of spending time building things, they’ve convinced people interested in these ideas that the first thing we need to do is write standards. (To engineers, this is absurd from the start—standards are things you write after you’ve got something working, not before!)
And so the “Semantic Web Activity” at the Worldwide Web Consortium (W3C) has spent its time writing standard upon standard: the Extensible Markup Language (XML), the Resource Description Framework (RDF), the Web Ontology Language (OWL), tools for Gleaning Resource Descriptions from Dialects of Languages (GRDDL), the Simple Protocol And RDF Query Language (SPARQL) (as created by the RDF Data Access Working Group (DAWG)).
Few have received any widespread use and those that have (XML) are uniformly scourges on the planet, offenses against hardworking programmers that have pushed out sensible formats (like JSON) in favor of overly-complicated hairballs with no basis in reality (I’m not done yet!—more on this in chapter 5).
Instead of getting existing systems to talk to each other and writing up the best practices, these self-appointed guarantors of the Semantic Web have spent their time creating their own little universe, complete with Semantic Web databases and programming languages. But databases and programming languages, while far from perfect, are largely solved problems. People already have their favorites, which have been tested and hacked to work in all sorts of unusual environments, and folks are not particularly inclined to learn a new one, especially for no good reason. It’s hard enough getting people to share data as it is, harder to get them to share it in a particular format, and completely impossible to get them to store it and manage it in a completely new system.
