Knowledge Graphs for Nutritional Data Management

This document is a technical report that discusses the concept of 'knowledge soup' as introduced by J. Sowa, which characterizes the dynamic nature of information that people learn and communicate. It outlines the challenges of translating complex knowledge into manageable information, particularly in the context of nutrition and food knowledge. The report details how Edamam, a US start-up, has developed a knowledge graph to enhance the navigation of nutrition data. It explains the processes involved in creating this knowledge graph, including web mining, text analysis, and semantic search, which collectively allow users to access detailed nutritional information about various foods. The document emphasizes the importance of having a flexible data architecture to accommodate the complexities of food knowledge and how this can lead to better-informed dietary choices. It also highlights the future potential of knowledge graphs in facilitating seamless access to nutritional data for various applications.