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.


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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.

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