AICLSep 4, 2025

Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs

arXiv:2509.04159v1h-index: 3Proceedings of the 1st International Workshop on Multi-modal Food Computing
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of ambiguous and complex cooking procedures for researchers and developers working on automated culinary systems, representing incremental progress toward structured machine understanding.

The authors tackled the challenge of formalizing complex cooking procedures by introducing a domain-specific language that represents recipes as directed action graphs, capturing processes, transfers, environments, concurrency, and compositional structure. Initial manual evaluation on a full English breakfast recipe demonstrated the language's expressiveness and suitability for future automated recipe analysis and execution.

Formalizing cooking procedures remains a challenging task due to their inherent complexity and ambiguity. We introduce an extensible domain-specific language for representing recipes as directed action graphs, capturing processes, transfers, environments, concurrency, and compositional structure. Our approach enables precise, modular modeling of complex culinary workflows. Initial manual evaluation on a full English breakfast recipe demonstrates the DSL's expressiveness and suitability for future automated recipe analysis and execution. This work represents initial steps towards an action-centric ontology for cooking, using temporal graphs to enable structured machine understanding, precise interpretation, and scalable automation of culinary processes - both in home kitchens and professional culinary settings.

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