Food Information Engineering AI Magazine

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➡️ AI Magazine - Vol 45 No: 3, Fall 2024 • ➡️ Browse - https://onlinelibrary.wiley.com/loi/2... • ➡️ Submit - https://mc.manuscriptcentral.com/aaai • 📑 AAAI New Faculty Highlights • 📑 https://onlinelibrary.wiley.com/doi/f... • --- • Food Information Engineering • Authors: Azanzi Jiomekong, Allard Oelen, Soren Auer, Lorenz Anna-Lena, Vogt Lars • Food information engineering relies on statistical and AI techniques (e.g., symbolic, connectionist and neuro-symbolic AI) for collecting, storing, processing, diffusing and putting food information in a form exploitable by humans and machines. Food information is collected manually and automatically. Once collected, food information is organized using tabular data representation schema, symbolic, connectionist or neuro-symbolic AI techniques. Once collected, processed and stored, food information is diffused to different stakeholders using appropriate formats. Even if neuro-symbolic AI have shown promising results in many domains, we found that this approach is rarely used in the domain of food information engineering. This paper aims to serve as a good reference for food information engineering researchers. Unlike existing reviews on the subject, we cover all the aspects of food information engineering and we linked the paper to online resources built using Open Research Knowledge Graph. These resources are composed of templates, comparisons tables of research contributions and smart reviews. All these resources are organized in the Food Information Engineering observatory. These resources are continually updated with new research contributions.

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