Methods for automated generation of transformations of information models

Due to the diversity of existing information models and labor-intensity of manual generation of model transformation, the automation of information models transformation generation is important. In the paper two methods for automated generation of model transformations are proposed. The first method (called forward) is intended for generation of transformations on the base of correspondences between elements of the models. The second method is intended for generation of backward transformations of models on the base of forward transformations. The methods for automated generation of model transformations constitute a part of more general work — development of the Unifying Information Models Constructor (the Model Unifier). The main objective of the Unifier consists in construction of mapping of models of heterogeneous information resources into the canonical information model during the integration of such resources.