The representation of an odour space is a challenging issue for scientists and professionals working in odour-related activities. Such an odour representation has to tackle the issues of a large amount of odors, dealing with subjectivity and uncertainty, a meaningful categorization for a knowledge map, and a readable and interactive visualization. Many representations of the odorant space have been proposed like : Field of odors[1], ScenTree [2], SensoryMap [3], Flavor network[4]. These initiatives turn the odorant space into easy-to-digest representations but the odour set is often restricted, and does not reflect the overlapping of categories. Thus, the related visualizations, face with difficulties to represent such odour relationships. This work based on knowledge graphs from semantic web aims to propose a readable, interactive and publicly available representation of the aroma space, relying on a large set of odors and on overlapping categories, dedicated to olfactory and sensory practices.