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Food Item Ontology

Software applications to facilitate healthier and more sustainable diets are being developed rapidly in recent years. In these apps, data and knowledge is combined to accommodate the requirements of different people and purposes.

Wageningen Food & Biobased Research developed the Food Item Ontology to combine different data sources and outputs on food attributes and link them to the food items they apply to.

The conscious consumer

Consumers’ eating behaviour has evolved over the years. People are more concerned about their health and the environmental-friendliness of the food they eat. Despite their willingness to do better, consumers are struggling to find their way to healthier and more sustainable eating habits as data is coming from different sources.

Combining information from different research fields on specific food attributes (e.g. information on the nutrient and taste profile) and linking them to the food items the attribute applies to, will help in designing new healthy and sustainable food products and in supporting people to eat healthier and more sustainable diets.

Organizing data information and knowledge

With the Food Item Ontology (FIO), data on different food topics from multiple databases can be gathered. These databases might have different definitions for food, but when connected to the concept of food item as defined in the FIO ontology, it becomes clear that the databases talk about the same thing. Because of the consensus of the concept and relations, the data connected to the FIO ontology will be more Findable, Accessible, Interoperable and Reusable (FAIR) for different (smart) software applications.

The FIO is developing continuously based on new data and knowledge. To date, the FIO mainly focuses on connecting and storing data on food items in the context of food advice, including:

  • Nutrient profiles
  • Amount of amino acids
  • Taste
  • Meal moments
  • Weights and measures
  • Daily reference intakes
  • Climate impact factors
  • Biological origin

Future possibilities include allergen profile, hazard profile and physical state of food items.

Prototype research applications

The FIO is currently used for a knowledge graph containing instance data from the NEVO database (Dutch Food Composition Database), but will be expanded with other datasets in the future. This knowledge graph is used in different prototype research applications.

Contact us for more information

The FIO ontology is available as open source software. If you would like a demonstration of the FIO ontology or would like to discuss your opportunities, please contact us.