Food is an essential part of human and animal life. Recent focus on sustainable agriculture brought new perspectives as well as the rapidly escalating pace in the different uses of food (e.g. food as medicine) which requires new approaches to analyze, compile, and represent food and food components data. Many food components can be represented as chemicals. Linking food components that can be expressed with chemical structures and analyzed using chemanalytics methods using semantic web has its own challenges that are currently being addressed and some still need more work. In this talk we will give an overview of the current progress and how adding the semantic web component can help connect seemingly disconnected databases and datasets that are available world-wide. We will also address some challenges and workflows for linking food components to chemical representations and chemanalytics.

Encoding chemical composition of food using semantic web

ACS Spring 2022

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