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Edited on Sat May-16-09 05:48 AM by RoyGBiv
...at least not at this stage. Part of the innovation though is in the parser. Google's search technology has been revolutionary, but it is becoming stale in the way it is utilized. If you know the various features that aren't readily apparent, you can get a lot more out of it than just by throwing terms into the search box, but finding what is relevant to what you intend to find is sometimes a challenge, especially with the way they weight the results they give you.
Lexis-Nexis, Infotrac, etc. wouldn't replace Google either, but they're used for far different purposes. They've been around longer, but of course they are paid services and have very basic search technology, but they offer the advantage of specialized searches for a specific purpose without the need for the end-user to wade through a ton of commercialization and widely varying quality of information.
Wolfram|Alpha is a marriage of sorts between those two purposes with the added benefit of a highly refined parser and search algorithm that trends toward understanding your intent rather than defaulting to variable popularity and commercialized interests. Using it also requires unlearning a lot that we all have learned about using Google to its best advantage.
If you watch the demo video of Wolfram|Alpha, you get a good sampling of the kinds of things it is intended to do, none of which Google can even approach.
It's far more than a "geek tool" in that respect.
As a personal example, I tested it this past evening using some searches I did this past fall and winter using Google in which I was seeking demographic and statistical information relevant to some research I've been doing. I'm fairly good at using Google to mine for relevant information, and I had the advantage of having access to numerous electronic libraries with specific kinds of information, essays, books, raw data, statistical abstracts, etc. That is, I had tons of resources. Some of the information I had to find took weeks for individual elements. Some of the same searches in Wolfram|Alpha came up instantly just by using specific terms and without having to wade through a mess of "Find CHEAP hotels in ..." a town that hasn't even existed for 100 years.
Better than that, combining terms and adding some operators, the engine did some of the comparative analysis for me. I compared all that with the data I had compiled to check for accuracy, and it was very accurate.
I guess the point is that Google tries to be everything to all people and is rather good at that, but that goal creates inherent limitations in the utility of the information found. I've never been impressed by the "Showing 1-10 of ten billion" hits for a particular set of terms. That many hits is a bad thing for a lot of serious research. Efficient search engines reduce hits down to relevant possibilities. Google does that as well as its technology allows, but it's actually not very good at that at all, mostly due to flaws that are fundamentally intentional.
Anyways ... I was very impressed by it.
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