I-KNOW-FOO: Interlinking and Creating Knowledge Graphs for Near-Zero CO2 Emission Diets and Sustainable FOOd Production

Abstract

AbstractIt is already known that the diet of the world’s population has a massive impact on climate change. However, how climate change affects the growing conditions of ingredients for different foods and beverages, and emission rates due to, for example, production and logistics are still not known. In this work, different datasets have been explored to study the feasibility of interlinking datasets to automatically generate alternatives for climate change-sensitive food items selection and substitution. A core question to be answered is what the alternatives of the mostly consumed crops in current diets in the Netherlands in case of a climate change can be. The main crop attributes taken into account are nutritional composition and the growing conditions. The growing conditions of three most-consumed crops in the Netherlands have been linked manually to their nutritional composition data and a corresponding knowledge graph is created. This study shows that linking various data semantically promises to generate alternatives automatically.