Right before Microsoft's Bing was announced, another new
search-related website was getting the spotlight, WolframAlpha.com. Wolfram
Alpha was created by Stephen Wolfram, who is also the creator of the highly respected
research focused application, Mathematica.
While this new website has received quite a bit of attention
recently, many people still seem to be somewhat confused about how it works. A
lot of this confusion is probably sue to the fact that many people are calling
the system a "search engine," but that is not really what it is. A
more appropriate label might be a knowledge or “information engine.”
Wolfram Alpha lets you type in natural language questions,
which it then tries to use basic public data to calculate an answer with.
Wolfram and his team created a number of scripts that handle different types of
questions by collecting, aggregating, and presenting a report of related data
in an attempt to answer the questions.
Unfortunately, users must learn the forms of questions that
Wolfram Alpha can process, and at this time, it is still fairly limited.
However, once its limitations are understood, it can be used very effectively
to perform calculations, and summarize recent factual data (such as “What is
the population of…”). One of its advantages is that it will look for the latest
data on a subject, which is something that may take time to find in a Google
search, and may be out of date on a knowledge database such as Wikipedia. So,
users of Wolfram Alpha have the advantage of not having to click through multiple sites compared
to Google as well as potentially having more recent data than Wikipedia.
One of the big questions is how Wolfram Alpha plans to make
money. One potential answer is that because its tools are very effective at
summarizing relevant data, many organizations may want to use it in their
internal data warehouses, or to produce hybrid reports using internal and external
data. Wolfram Alpha may charge for custom uses of the system such as this. Also, the site has posted its first banner ad,
for Lenovo. Whether it will advance this model to include Google-style targeted
ads based on the search terms remains to be seen.
Since Wolfram Alpha is a totally different type of tool, it
will not likely compete directly with Google in the near future. It may become
the go-to tool for finding simple, quantitative information about subjects that
have publically available data on the web, but it will likely need to expand its
language processing ability so that it can handle a greater range of questions
for the general internet population to accept it. This could happen if the site
is bought out by a bigger player, or if they receive a big investment by a
believer in the technology. It will also be interesting to see if Google
attempts to build similar functionality into their browser. They could be
the greatest obstacle or enabler of Wolfram Alpha's future.