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2004-11-19-tripleTripVisualize Context (requires Java Plug-in)
CREATED BY chris • LAST EDITED BY chris 6527 days AGO
Adam Bosworth: "And it is my considered and thoughtful judgement that while the concept underlying RDF is simple, even brillliantly simple, it isn't how most of us think about data. In short, while it is simple, it isn't intuitive."

I guess I have to agree (based on quite some time of dealing with data in pure triple form). Just because it's possible to express any computation using Turing's machine or lambda calculus, it doesn't mean that those are effective ways for people to think and express computations in. I think what we really want in terms of data models is something fairly simple: uniquely identified dictionaries of simple values (strings, numbers, dates &c.) plus typed links to other such dictionaries (or resources or whatever we're going to call them); in short, u-forms, code-free object graphs. Even if a store is implemented using triple structures, that really shouldn't be what surfaces to the user (developer). It's fairly easy for people to think in terms of linked entities with properties (object graphs, relational tables, even web pages), but I've yet to meet someone who is really productive manipulating raw triples. The pivoting we can have cheaper.

Hint: Gobble got a lot right.

And now some excerpts from a quite wonderful talk Adam Bosworth recently held:

"Consider user interface. When HTML first came out it was unbelievably sloppy and forgiving, permissive and ambiguous. I remember listening many years ago to the head, then and now, of Microsoft Office, saying contemptuously in 1995 that HTML would never succeed because it was so primitive and that Word would win because Word documents were so rich and controlled in their layout."

"The value is in the information and its ability to be effortlessly aggregated, evaluated, filtered, and enhanced."

"You want to see the future. Don't look at Longhorn. Look at Slashdot. 500,000 nerds coming together everyday just to manage information overload."

"Learning Avalon or Swing isn't going to matter. Machine learning and inference and data mining will. For the first time since computers came along, AI is the mainstream."

"I encourage all of you to remember, that in the long run, we are all human and, as you add value, add it in ways that are simple, flexible, sloppy, and, in the end, everything that the Platonists in you abhor."

Heck yes.


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