In this chapter, we demonstrate the potential of semantic web and knowledge graphs in the context of culinary healthcare. We explore the idea of annotating text-based recipes with cooking semantics, rendering the underlying concepts machine-readable through the application of AI and NLP techniques. This annotated data can be harnessed to generate innovative, nutritionally sound recipes, with optimization criteria customized to prioritize health-related considerations. The concept of Semantic Recipe Generation offers promising applications, such as catering to individuals with specific dietary requirements and promoting ecofriendly cooking practices. We envision the possibility of extending this approach to develop a robust system that contributes to improving the well-being.