Résumé
The transition to a more sustainable food system has become a strategic priority due to pressing environmental, social, and health challenges. This shift requires not only changes in production and distribution but also a deep transformation in co nsumer eating habits. Understanding the compl exity of these behaviors is essential to identify effective strategies and interventions. Tfowever, studying consumer behavior involves multiple disciplines-senso ry and consumer science, social sciences, nutrition, psychology, economics- each with its own methods and terminology, making integration diffic ul t. Ontologies offer a so lution by providing a shared conceptual framework to analyze and mode! consumer dynamics. Existing foo drelated ontologies, such as FoodWiki, FoodOn, and TransformON, are primarily product- or process-oriented. While useful, they do not adequately address the in teractio n between consumers, food, and context. To fil! this gap, the ConsomON ontology was developed to mode! th e biological, cognitive, and behavioral processes involved in food choices, from exposure to stimuli to fi nal purchase and consumption decisions. ConsomON has been built usin g the Linked Open Terms methodology, combining top-down and bottomup approaches. The top-clown method draws on litera ture, expert input, and existing models like PO' and T-ADOPT, focusing on high-level concepts for consistency. The bottom-up approach uses detailed, domainspecific data from l:\vo questionnaires-one structured (Food Choice Questionnaire) and one open-endedused as a case study to deve lop the "consumer motivation" hierarchy of attributes. The PO' Manager software suite was used to build and implement th e onto logy. Ultimately, ConsomON aims to standardize vocabulary and structure data on food consumer behavior, fostering interdisciplinary collaboration and enabling data-driven approaches such as meta-analyses, AT-based tools, and holistic models of food choice processes.