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FERRET is a full text, conceptual information retrieval system that uses a partial understanding of its texts to provide greater precision and recall performance than keyword ,search techniques, It uses a machine-readable dictionary to augment its lexical knowledge and a variant of genetic learning to extend its script database. Comparison of FERRET's retrieval performance on a collection of 1065 astronomy texts using 22 sample user queries with a standard boolean keyword query system showeddoi:10.1145/122860.122896 dblp:conf/sigir/Mauldin91 fatcat:qi6btn7icnfxxibninousfe4xy