Fettke, PeterLoos, Peter2018-01-162018-01-1620052005https://dl.gi.de/handle/20.500.12116/12455On the one hand, data models decrease the complexity of information system development. On the other hand, data models causes additional complexity. Recently structural analogies are discussed as instruments reducing the complexity of data models. This piece of research presents a procedure to identify structural analogies in data models and demonstrates its performance by analyzing Scheer’s reference model for industrial enterprises (Y-CIM-model). The proposed procedure is based on formalizing data models within set theory and uses a quantitative similarity measure. The obtained results show both identical and very similar information structures within the Y-CIM-model. Furthermore, ways of dealing with the identified structural analogies are discussed from an analysis and software design perspective.Conceptual ModelingData ModelingEntity-Relationship-ModelIndustryInformation ModelingIntegrationModelingReference ModelSimilarity MeasureY-CIM-ModelText/Journal Article1861-8936