Mapping the world of food data.

Target Groups

CulinaryGraph is designed for companies, developers, and research institutions seeking access to standardized and quality-assured food data.

• Nutrition and health software
• Diet and food-tracking systems
• Data analysis and semantic modeling
• Research projects in food informatics

Why a Graph for Food?

Food and recipe data exist across countless systems, formats, and standards — often disconnected, incomplete, or redundant. CulinaryGraph brings these domains together by mapping them in a semantically structured knowledge network.

The service is built on established web standards such as RDF and leverages ontologies like FoodOn to provide consistent, machine-readable food and nutrition data.

Goal: Interoperability and data quality — as a foundation for sustainable, data-driven applications in the food domain.

Project Status

CulinaryGraph is currently in active development. The conceptual framework and data model are being designed and continuously validated, while the semantic ontology and technical infrastructure are being implemented in parallel.

• Concept and data integration design
• Ontology model (RDF/OWL) for consistent data representation
• API specifications for standardized access and integration

What CulinaryGraph Will Offer

CulinaryGraph provides a central, semantically structured data foundation for food, nutrient, recipe, and dish information. The service combines domain models with modern web technology to make data consistent, interoperable, and extensible.

• Standardized HTTPS interfaces (API, SPARQL, etc.)
• Linked datasets for foods, nutrients, recipes, and dishes
• Ontology-based classification and query capabilities
• Scalable data infrastructure for research, analytics, and integration