At FMFI, students taking the Databázy 1 course haven’t had any possibility to automatically evaluate a created entity-relationship model, after solving a schema matching problem. Goal of this bachelor thesis was to extend the support of a solution evaluator, built in an application, used for exercising database related problems solving. Aim of the support extension was to make schema modeling exercises solutions possible to evaluate. Pursuing this goal, we have created an algorithm for automatic entity-relationship models comparing. The comparison is based on the models ability to store data, not solely their structure itself. Once the algorithm implementation is integrated with the solution evaluator, it shall be used as follows. The student’s schema modeling solution shall be evaluated by comparing it to an exemplar solution, using the algorithm. The algorithm input is a double of text strings, describing entity-relationship models, using our custom syntax. The main algorithm computation is preceeded by a preprocessing of the input models, modifying their structure, but keeping the amount of information, storable in the ER models. The main computation itself consists of an entity set mapping search, between the ER models. The computed mapping is used to create an algorithm output text report, describing the student’s solution correctness.