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A declarative approach can be employed on the definition of constraints that limit process execution possibilities. This perspective is appropriate when dealing with unstructured or flexible processes, a.k.a. knowledge-intensive processes. Declarative process mining may result in complex models due the discovery of a high quantity of constraints, producing models with excessive complexity. As abstractions are seen as an effective approach to represent readable models, this work proposes to create language-independent hierarchical declarative maps using a linguistic hierarchy of activities. The proposed approach applies natural language processing to build more abstract declarative models produced by process mining. The presented method was evaluated in a case study with real life data and support from domain experts. The findings showed that it is possible to generate meaningful groups by looking for the …