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Next-Gen Natural Language Search Engine
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Artificial Intelligence - The Internet
Thursday, 30 October 2008 00:00

A new search engine is being developed that utilizes ‘natural language’ searches rather than the familiar keyword based search used by Google, MSN and the other major search engines.

The search engine, Noesis, created by BrainDamage Ltd., utilizes a system that organizes information into logical constructs and ideas.

The Jewish Journal explains.

A part of those data constructs is supplying contexts for terms and ideas, so in a case where the question being asked can apply to different situations, the BD engine will seek to clarify the question by asking for more information.
"Our system gathers information and develops it, guided by the user, to reach a conclusion -- using the same patterns of logic and ideas human beings do," Fine said.

When you examine the current body of literature on artificial intelligence, you realize that researchers have hit a brick wall -- that there seems to be no way to build the intelligent robots we were told would be doing all the work for us by now at the dawn of the AI era three decades ago," Fine said. "With BrainDamage, the possibility of machines that can actually understand and think, based on what we tell them to do, becomes a reality."
The applications section of BrainDamage’s site gives an example of how the system analyzes a search request:
Let"s look at the search query "financial fraud using id theft and off-shore banks".
Noesis automatically breaks down this phrase into meaningful "concept identification" such as "financial fraud", "id theft", "off-shore banks", etc. Each of these "finger-prints" leads to thousands of different ways humans verbally express the same meaning. After automatic review and analysis of its information sources, Noesis assembles the results most closely matching the meaning of the original search phrase.

By searching for meaning, Noesis is able to locate information by its meaning unlike other search engines that use word or phrase matching techniques to locate information.

 


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