Microsoft deal heralds further consolidation

Yes, more acquisitions are on the way

We'll probably see other acquisitions because all big players are afraid to miss the "next big search thing." In most cases, though, they'll be buying technology based on the same principle - keyword recognition.
Yes, you can add arcane semantic or linguistic algorithms, yes you can invest in taxonomies, but you will still have to give a system an exact definition.
But what if the keyword is misspelled? Will the engine work in this case? Or if you do not know exactly what you are looking for, just have a vague notion?
There are other solutions out there that deal with this problem by imitating the work of human brain (we don't look for keywords, we look for patterns). For example, Brainware possesses a unique, patent-protected technology that sets it apart from other data capture and enterprise search solutions providers.
Its products are powered by the world's only engine that does not rely on exact definitions to rapidly sift through mountains of unstructured data. Brainware's technology allows it to recognize and find data through inexact definitions, patterns and context, mimicking the way the human brain processes and sorts information.
No need for dictionaries that list most common misspellings, no need for inverted indexes, Boolean operators, and taxonomies. Just type in a stream of misspelled consciousness, and the system will find the match.
Such queries will make other search engines go catatonic with confusion, but Brainware just loves them.
Here's a case study showing Brainware in action:
Fulbright & Jaworski: Leading Law Firm Searches And Shares Knowledge Base Smarter, More Accurately
www.brainware.com/brain_case_lawfirm.php

Posted by: Yegor Kuznetsov  17 Jan 2008