ConceptSearching - Technology

Most concepts are expressed using short sequences of words and it is these patterns that convey most of the meaning in any language. The key patterns are mostly proper nouns, noun phrases and verb phrases.
Any attempt to analyse text based on single words in isolation is likely to introduce significant ambiguity since it is the context within which word patterns appear that identifies the real meaning.

Consider the following examples:

Isolated Words	Concepts
New	New York City
Dealing	Insider dealing
Company	Company securities

The isolated words have no real meaning since they are ambiguous out of context whilst, in contrast, the two and three word phrases have clear meaning.

Also with conceptSearching the stemmed versions will be valid e.g. Deal, Deals, Dealing, Dealings.

conceptSearching automatically identifies the most significant patterns in any text and uses these compound terms to rank results based on an understanding of meaning rather than simply based on finding the required words. This is significantly more adaptive and flexible than exact phrase or proximity searching. Also, queries can be expressed in natural language, with no need for complex query syntax associated with traditional Boolean techniques.

conceptSearching is the first true concept search engine in that it combines Bayesian Inference with Shannon's Information Theory to correctly weight not only single words but also compound terms (i.e. multi-word phrases). Since most concepts are expressed in short phrases, rather than in single words used in isolation, our unique technology is being used to build ground-breaking applications.