EMF Profiles is an adaptation of the well-known Unified Modeling Language (UML) profile concept to Domain Specific Modeling Languages (DSML). Profiles have been a key enabler for the success of UML by providing a lightweight language-inherent extension mechanism which is expressive enough to cover an important subset of adaptation scenarios. Thus, we believe a similar concept for DSMLs provides an easier extension mechanism that has been so far neglected by current metamodeling tools. The Profile mechanism is based on a profile definition comprised of stereotype definitions. Stereotypes are used to annotate model elements in order to refine their meta-classes by defining supplemental information in form of additional meta attributes, also known as tag definitions. Instances of tag definitions are known as tagged values and they are used for the provision of new informations to existing models. With EMF Profiles, users can apply profiles within graphical modeling editors that are created using the Graphical Modeling Framework (GMF). Applied stereotypes are visualized using icons that are attached to shapes that represent the model elements to which stereotypes are applied. However, in many scenarios, visualization methods going beyond simple icons are helpful for locating and grasping the applied stereotypes and to allow for more domain-specific decorations according to the domain of the applied profile. For instance, highlighting a shape by a specific background color or enriching the shape with adornments and informations from a stereotype application reflects the meaning of the stereotype application more adequately than a simple icon. This thesis aims at providing decoration methods for applied stereotypes in EMF Profiles going beyond simple icons.