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Fuzzy matching is usually used in conjunction with parameters such as distance, salaries, work schedules, etc. Traditionally 'fuzzy matching' has referred mostly to numerical criteria, but Actonomy goes a step further: words and concepts can also be fuzzy! With the Actonomy ontology, different terms or concepts with similar or related meanings can be used to find results that match your request in a relevant way.
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