Hi Bjarke, I work a bit on Food & Drink (edamam.com before, now Europeana Food 
& Drink which is not about nutrition but anyway).

For edamam we processed recipes. We targeted USDA Standard Reference (is this 
the same as USDA Nutrient Database?).
- We mapped normal food names (e.g. Steak) to one of the hundreds of steaks on 
USDA using a FreeBase dataset
- We mapped ingredient lines (especially unit and number) using heuristics and 
duct tape. Oh it was so much fun!

I haven't looked at nutrition info on Wikipedia, but knowing how fiddly is this 
info,
I doubt it'd be structured and entered properly in every article to enable good 
extraction. You make a good point with Coconut: why put two foods on one page? 
AFAIK, DBpedia can't extract twice from the same page.

I think you're better off looking at specialized sites.

1. http://world.openfoodfacts.org/
Mostly about nutritional values, labels, countries of ready foods.
Has a great number of varieties and brands.
Mostly EN & FR

2. http://foodpedia.tk/
- info http://datahub.io/dataset/foodpedia
- very well done, but only Russian, from http://goodsmatrix.ru/
- eg http://foodpedia.tk/page/4601242311914

3. https://archive.org/details/kasabi:
- info http://linkeddatacatalog.dws.informatik.uni-mannheim.de/dataset/foodista
- food: 66k recipes, 22k persons, classified foods (eg seafood, spices...)
- foodista: 32k recipes
- uses this ontology, let me know if you find a RDF file
  https://web.archive.org/web/20140207204602/http://linkedrecipes.org/schema
  Even if not, you can model something similar in DBpedia; or use hRecipe or 
schema.org/Recipe



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