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Pairing - Good and Bad

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18. Consumer Service 
18. Consumer Service
 Consumer Service (15) 
 Pairing - Good and Bad (1)
description  Ontomatica's Pairing - Good and Bad Data Application integrates relevant ontology rules (items, properties, relationships and constraints) with relevant data sets. The Pairing - Good and Bad Data Application is used to specify products that do or do not combine well with a target product. Background: Foodpairing is a method for identifying which foods go well together. The method is based on the principle that foods combine well with one another when they share key flavor components. Foodpairing is a relatively new method and is often confused with wine and food matching. By contrast, foodpairing uses HPLC, gas chromatography and other laboratory methods to analyse food and to find chemical components that they have in common. Not to be confused with protein combination theory for vegetarians and vegans.