Abstract:Patterns are recurrent structures that provide key insights for Conceptual Modeling. Typically, patterns emerge from the repeated modeling practice in a given field. However, their discovery, if performed manually, is a slow and highly laborious task and, hence, it usually takes years for pattern catalogs to emerge in new domains. For this reason, the field would greatly benefit from the creation of automated datadriven techniques for the empirical discovery of patterns. In this paper, we propose a highly auto… Show more
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