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Normalizing ingredients implies that any variant of an an ingredient in any language is mapped onto a single name. The normalizing procedure is mainly going through a pattern recognition procedure.
 
Normalizing ingredients implies that any variant of an an ingredient in any language is mapped onto a single name. The normalizing procedure is mainly going through a pattern recognition procedure.
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For protégé this implies that any normalized ingredient individual must have a data property, which defines the data corresponding to the individual. The data property ''hasName valueString'' is used to infer the corresponding classes. It is assumed that the valueString has the format languageCode:string. This data property can then be used to classify an ingredient. It is possible that the other information of the product is required for a better classification.
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For protégé this implies that any normalized ingredient individual must have a data property, which defines the data corresponding to the individual. The data property ''hasName valueString'' is used to infer the corresponding classes. It is assumed that the valueString has the format languageCode:string. This data property can then be used to classify an ingredient.
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Probably it is possible to bypass this normalisation step, but that makes the encoding in OWL much more extended.
    
==== Normalisation procedure ====
 
==== Normalisation procedure ====
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