Making Machines That Think

Today’s New York Times explores “the semantic web” or Web 3.0.

The classic example of the Web 2.0 era is the “mash-up” — for example, connecting a rental-housing Web site with Google Maps to create a new, more useful service that automatically shows the location of each rental listing.
In contrast, the Holy Grail for developers of the semantic Web is to build a system that can give a reasonable and complete response to a simple question like: “I’m looking for a warm place to vacation and I have a budget of $3,000. Oh, and I have an 11-year-old child.”
Under today’s system, such a query can lead to hours of sifting — through lists of flights, hotel, car rentals — and the options are often at odds with one another. Under Web 3.0, the same search would ideally call up a complete vacation package that was planned as meticulously as if it had been assembled by a human travel agent.

About David Burn

I wrote my first ad for a political candidate when I was 17 years old. She won her race and I felt the seductive power of advertising for the first time. Today—after working for seven agencies in five states—I am now head of brand strategy and creative direction at Bonehook in Portland, Oregon.