Out of 10,000 internet links available with me, how to find out which link is related with technical ?

I have data base of 10,000 internet links. I want some mechanism, by which , I can find out that this link is technical related website or other. It should be automated process. I know the functioning of whois server, which is used to find out the data related with the web site. I want to find out whether that site is related with technical information ? If we have similar server like whois , which will tell u that given site belongs to technical or non technical then will work. So pls help me for this.
Thanks in advance.

You're talking about text classification. This is pretty easy, it more or less comes down to word counting and some probability. You'll also need some examples of technical web pages and some of non technical web pages, preferably that are not in your set.

You might be able to find a classifier out there that's open source or for sale, but they aren't hard to write. Baysian methods (see references) are also used in spam detection, but people probably won't be obfuscating their technical web sites so badly that they wouldn't be useful to human readers.

Why don't you see if any of those sites are classified with Google Directory? Thanks to thousands of volunteers they are classifying all internet sites. In addition you can check with alexa.com.

Enjoy.