Transformations and decompositions of nets
Advances in Petri nets 1986, part I on Petri nets: central models and their properties
Constructing customized process views
Data & Knowledge Engineering
Modularity in Process Models: Review and Effects
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Predicting Coupling of Object-Centric Business Process Implementations
BPM '08 Proceedings of the 6th International Conference on Business Process Management
The refined process structure tree
Data & Knowledge Engineering
Structural Aspects of Business Process Diagram Abstraction
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
The Triconnected Abstraction of Process Models
BPM '09 Proceedings of the 7th International Conference on Business Process Management
View-based process visualization
BPM'07 Proceedings of the 5th international conference on Business process management
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Simplified computation and generalization of the refined process structure tree
WS-FM'10 Proceedings of the 7th international conference on Web services and formal methods
A semantic approach for business process model abstraction
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
A framework for document-driven workflow systems
BPM'05 Proceedings of the 3rd international conference on Business Process Management
Structuring acyclic process models
Information Systems
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
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Process model abstraction is an effective approach to reduce the complexity and increase the understandability of process models. Several techniques provide process model abstraction capabilities, but none of them includes data in the abstraction procedure. To overcome this gap, we propose data abstraction capabilities for process model abstraction. The approach is based on use cases found in literature as well as encountered in practice. Altogether, we introduce a framework for data abstraction in process models and provide algorithmic guidance to apply it in practice. The approach is evaluated by an implementation and a scenario of a workshop organization, that contains process models on different levels of abstraction.