This paper presents an RS-agnostic technique for representation transformation and selection between diverse representation systems (RSs). We present a novel computational method, "structure transfer," which generates a target representation of a target RS from a source representation of a source RS. Structure transfer is designed to satisfy specific relationships (e.g., semantic equivalence) between representations and achieves this by utilizing a schema that encodes knowledge about the RSs. The schema expresses information preservation through the relationships between pairs of RSs, and based on this knowledge, structure transfer derives a structure for the target representation that satisfies the desired relationships. Formulated based on representation system theory and the concept of a construction space, the abstract nature of the construction space allows modeling diverse types of RSs, including formal languages, geometric figures and diagrams, and informal notations. Therefore, structure transfer is a system-agnostic computational method that can be used to identify alternative representations in a variety of real-world settings.