Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo


Unsupported browser: Your browser does not meet modern web standards. See how it scores »

{ action.text }


Searching a conventional database is like using chopsticks to hunt for gold nuggets in a pile of ore: every pebble must be picked up and examined individually. Engineers at StreamLogic in Los Altos Hills, CA, have invented sifting software that lets informational “ore” pass but captures the gold-alerting users to interesting new content, such as news stories on the Web.

StreamLogic’s program monitors constantly changing content sources such as discussion groups, newswires and stock quotes and categorizes their information by topic, according to the frequency of certain words or word pairs. It then strains this categorized content through a mathematical filter; when content matching a preset pattern emerges, the system issues an alert or extracts the data in real time. A Web site on Middle Eastern politics, for example, could watch news feeds for stories containing the words “Arafat,” “Sharon” and “intifada”-and then present only those items to the site’s visitors.

0 comments about this story. Start the discussion »

Reprints and Permissions | Send feedback to the editor

From the Archives


Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me