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 were 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.
Next: The Sense Engine >>
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