Deep Web Search
Finally catching up on some reading from earlier this week, this NYT story about Google's "deep web" initiative seems to have been overlooked. This bit was new and intriguing:
Google's Deep Web search strategy involves sending out a program to analyze the contents of every database it encounters. For example, if the search engine finds a page with a form related to fine art, it starts guessing likely search terms -- "Rembrandt," "Picasso," "Vermeer" and so on -- until one of those terms returns a match. The search engine then analyzes the results and develops a predictive model of what the database contains.The idea that Google is spidering via search queries is fascinating itself, but that it's building database models from this... this seems to be creeping us toward a semantic web future.