Determining semantic similarity of it systems based on the comparison of their graphical data models (original) (raw)

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This paper investigates methods for determining the semantic similarity of IT systems through graphical data models. The analysis focuses on both structural and semantic similarities between the models, proposing processes to compare and derive insights from them. The findings suggest that understanding these similarities can have practical applications in both business and scientific contexts, thus highlighting the importance of graphical data model representation.

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