FoodKG Enabled Questions and Answers Application

We demonstrate the usage of our FoodKG [3], a food knowledge graph designed to assist in food recommendation. This resource, which brings together recipes, nutrition, food taxonomies, and links into existing ontologies, is used to power a cognitive agent that performs knowledge-base question answering, primarily to help improve peoples' diets by guiding them towards better foods. The system demonstration involves three categories of questions: simple queries for nutritional information, comparisons of nutrients between dierent foods, and constraintbased queries to nd recipes matching certain criteria.

View Publication

Associated Projects

The Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS) is a five-year collaboration between Rensselaer and IBM aimed at researching how the application of advanced cognitive computing capabilities can help people to understand and improve their own health conditions.