Search Engines and Algorithms: Semantic Search - The Sense Engine
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The ‘sense engine’ that drives Textonomy is the outcome of a long-term development program in search-linguistics. It started with a program to develop a classification system, created to handle data being compiled for the first edition of The Cambridge Encyclopedia, and was soon extended to deal with the various encyclopedias and fact finders published by Cambridge University Press and later by Penguin Books.
At the time, the database was owned by Cambridge University Press, but in 1997 they sold it to the Dutch electronic publishers, AND, who began to develop it for online use. During the next four years, the classification system was expanded into a ’global data model’, inspiring several applications in document classification and search-engine technology. But when AND went out of business in 2001, the database was acquired by Crystal Reference Systems, founded exclusively to progress the global data model, evolving the central concept of the ‘sense engine’. It is one of the largest semantic networks, growing constantly under the supervision of Professor Crystal and his highly experienced editorial team.
In order to understand the search linguistics that Crystal Semantics employs, and why it is in theory better than current search engines, let’s discuss a few search terms that you may or may not be familiar with.
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