Analogical mapping theories tend to focus on matching identical symbols (either for objects or the relations between them). In the domain of visual representations we implemented a mapping system that uses separate domain knowledge (a shape-type superclass hierarchy) to re-represent analogs such that identicality can be found at different levels of abstraction. Such a scheme is useful where shape, and not the spatial layout of the analog images, is important to aligning visual objects.