This month's issue includes:

Contrasting Relational and Full-Text Engines

Full-text search engines evolved much later than traditional database engines, as corporations and governments found themselves with more and more unstructured textual data in electronic format. These new text documents didn't fit well into the old table-style databases, so the need for unstructured full-text searching was apparent. [More].

Let’s face it, there’s way too much content in the Internet. While finding enough of it was once a big deal that’s not the case anymore. Huge armies of web crawlers now make their home on the Internet, continuously examining and cataloging documents from all corners of the Web, making them all accessible through their search engines. Today’s problem is sorting through all that content, finding what you want, and keeping the clutter down. Abe and Sol Lederman of Deep Web Technologies drill down on finding the right content. [More].

An old support adage is When you're sure everything is right, and it still doesn't work, something you are sure of is wrong.

Sometimes you'll find that a new program you are writing using the VSearch object in K2 is just not working the way you expect. Either it's not finding your Java classes, or the server isn't responding, and you'd really like to know what parameters K2 is using when it initiates the VSearch object. [More].

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