Search Engines and Algorithms Semantic Search by pengxiuhui

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									Search Engines and Algorithms: Semantic Search
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in the final article of this series, I want to take a look at another type of
search we mentioned in one of the other articles more in depth: Semantic
Search. The Semantics Engine is one that attempts to make sense of the
results of a search query in a contextual format. Currently, the use of the
sense engine is being used to provide advertising, but eventually we‟d like to
see this concept used in a free search engine.

Crystal Semantics is the developer of Textonomy Advance, the world's first
Sense Engine based technology. This search tool “…operates by applying
human “senses” and concepts that current algorithms, semantic systems and
other statistical techniques cannot match. Carefully built by human experts,
Crystal Semantics‟ unique semantic network provides an understanding of
the „senses‟ of words and terms and the true linguistic relationship between
them,” as they say on their website.

“It is the result of 8 years and $8 million investment in research and
development, the products was devised by Dr. David Crystal, one of the
world's leading linguists and chair of Crystal Semantics. Among the
applications for the products are the context targeting of advertising,
categorization of content such as RSS feeds and blogs, and search and
navigation.”

Textonomy, unlike current search technologies, which are based solely on
statistical algorithms, uses techniques from linguistic science to determine
the semantic relationships between words and the contexts in which they
occur. What are these semantic relationships, and how are they integrated?
The Textonomy Advanced Engine relates dictionary definitions from the
entire content of a college dictionary to encyclopedia categorizations derived
from multiple reference sources.

								
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