Most of the efforts concerning graphical representations of humans (Virtual Humans) have been focused on synthesizing geometry for static or animated shapes. The next step is to consider a human body not only as a 3D shape, but as an active semantic entity with features, functionalities, interaction skills, etc. The ontology for Virtual Humans we are defining will provide the ”semantic layer” required to reconstruct, stock, retrieve and reuse content and knowledge related to Virtual Humans. The connection between the semantic and graphical data is achieved thanks to an intermediate layer based on anatomical features extracted form morphological shape analysis. The resulting shape descriptors can be used to derive higher-level descriptors from the raw geometric data. High-level descriptors can be used to control human models.