Class TrackRepository.Food
java.lang.Object
de.uni_mannheim.informatik.dws.melt.matching_data.TrackRepository.Food
- Enclosing class:
- TrackRepository
Food Nutritional Composition track.
This track consists of finding alignments between food concepts
from CIQUAL, the French food nutritional composition database, and food concepts from SIREN.
Food concepts from both databases are described in LanguaL, a well-known multilingual thesaurus using faceted classification.
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Field Summary
Modifier and TypeFieldDescriptionstatic Track
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN.static Track
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN.static Track
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN. -
Constructor Summary
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Method Summary
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Field Details
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V1
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN. Foods from both databases are described in LanguaL, a well-known multilingual thesaurus using faceted classification. Reference alignment originates from https://doi.org/10.15454/BVXD7I. -
V2
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN. Foods from both databases are described in LanguaL, a well-known multilingual thesaurus using faceted classification. Source from https://doi.org/10.15454/6CEYU3. Target from https://doi.org/10.15454/5LLGVY. Reference alignment originates from https://doi.org/10.15454/BVXD7I (file reference.xml). -
V2SUB
This track consists of finding alignments between food concepts from CIQUAL, the French food nutritional composition database, and food concepts from SIREN. This version contains subsumption relation in the reference alignemnt Foods from both databases are described in LanguaL, a well-known multilingual thesaurus using faceted classification. Source from https://doi.org/10.15454/6CEYU3. Target from https://doi.org/10.15454/5LLGVY.
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Constructor Details
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Food
public Food()
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