Google Search has changed the way most of us do research. We put in a word or phrase and instantaneously receive a response that can contain 100s to millions of references with those words. What a challenge this has proven to be for the traditional search technologies of the past, the library, encyclopedias, and newspaper and newswire services. Even the online search subscription services from West Publishing and Lexis-Nexis have felt the impact of Google's ubiquitous research application. Other search engines like Yahoo and Ask Jeeves have found themselves playing second fiddle to Google.
As powerful a tool as Google Search is, it is also a source of great confusion and an eater of time. Unless you use the Advanced Search capability, simple search results may require you to wade through hundreds of documents of little value to your query. There is also no way to know whether the quality of the information you find represents facts or fancy. Hence the evolution of new search utilities is inevitable.
This article is part one of a two part discussion on the most recent newcomers to the Internet search scene. In this article we take a quick look at Wolfram|Alpha. In part two we will explore Microsoft Bing.
Stephen Wolfram is the mind behind Wolfram|Alpha. A scientist and mathematician, Wolfram has made the long-term goal of this venture to make knowledge accessible to anyone using state-of-the-art and science, computing models, methods and algorithms. With Wolfram|Alpha you enter a question in natural language and receive an answer.
You can try it out to see the results. I give you some examples of queries I have made:
I asked Wolfram|Alpha to "compare Canada and Australia population." It came back with results in report format that compared total population, history, value comparisons and demographics.
You can ask Wolfram|Alpha to give you information about a historical event. I asked "fall of Constantinople," (If you want to know why I picked that subject, I studied Medieval History, Islamic and Byzantine Studies in university). Here was the result:
It was nice to see that it knew what I knew and even gave me other phrases or words to look up to obtain even more background information.
This is pretty powerful stuff. But what Wolfram|Alpha appears to be very good at is solving mathematical equations and problems. Its algorithms and computing methods lend themselves to that type of query.
Here is another example. I asked Wolfram|Alpha to give answer the following problem "1283 times 56." It came back with the following:
Wolfram|Alpha describes itself as a work in progress. On its site it claims to contain 10+ trillion pieces of data, 50,000+ algorithms and models, and linguistic capabilities for over 1,000 domains.
About Me
- Len Rosen
- Toronto, Ontario, Canada
- Len focuses on helping small and new businesses succeed through developing appropriate marketing and sales strategies. Len enjoys mentoring, relishes in getting both arms and feet wet in addressing technology, marketing and sales issues. He understands the drivers impacting business results for today and tomorrow including time-to-market, time-to-revenue, marketing, sales channels and social media.
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