DBpedia recently added a search facility that beautifully shows off the power of structured searching--treating content on the web as a database, rather than as a big pile of documents.
Google-like, you have a simple, one-input interface to start your search over the DBpedia set of data, Wikipedia, put into the nice structure of RDF (i.e., semantic web). Un-Google-like, the results pull up an image for the hits if one exists (a very nice touch!). And, even better, you get a tag cloud at the top that you can use to filter the results. So, for example, type in "education" and you get a tag cloud that includes such filters as "academic degree," "professional association, "civil right," "government department," and many more. Click the filters to narrow down your search.
As is to be expected, there are plenty of unexpected tags in the cloud. The tag "party" in the same search, for example (it leads to "Liberia Education and Development Party"). Or "album," leading to a number of albums with the word "education" in the title. That will be both a strength and weakness, depending on the user. To people with a strong training in traditional library searches (lots of booleans and classification systems), it could be a little disconcerting. But, if you put that aside, it provides a way into the data that is more intuitive in some ways. Say, for example, I heard a really great song, but the only thing I remember about it is one word from the title of the album. . .
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