Congree Search is based on linguistic technologies and combines them with statistical methods. Based on the morphosyntactic information obtained about the words in your texts, Congree Search is able to distinguish important words from unimportant words and guarantees that text passages are found even if they contain not only 1:1 matches for the search terms, but also, for example, inflected forms and spelling variants.

Linguistically characteristic units such as composites or nominal phrases of adjective and noun are first identified as potential keywords. Since linguistic factors alone are not sufficient to distinguish general language words from specialized words, the potential keywords are then weighted using sophisticated statistical methods. An additional factor that is included in the weighting, is the frequency of semantic features that occur in a text. Congree Search assigns a semantic class to each of the potential keywords identified: agent, thing, instrument, material, process and many more. The relevance of the keywords is statistically determined on the basis of the semantic classes: The more keywords appear per class, the higher they are weighted.