Similarity of business process models: Metrics and evaluation

By Remco M. Dijkman, Marlon Dumas, Boudewijn van Dongen, Reina Uba, Jan Mendling. Information Systems, 2011

556 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/b39eb464ecd4f45948ccb7a6ddb40d0d78660d6c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Manfred Reichert
2. Bernd Weber
3. Jan Mendling
4. Frank Puhlmann
5. Fabian Friedrich

In Information Systems

1. Bernd Weber
2. Manfred Reichert
3. Jan Mendling
4. Wil M.P. van der Aalst

In Management Information Systems

1. Bernd Weber
2. Manfred Reichert
3. Jan Mendling
4. Frank Puhlmann
5. Fabian Friedrich
6. Wil M.P. van der Aalst

Citations in the corpus

• Process Model Generation from Natural Language Text (2011, background): “The labels, attributes, the structural context, and behavior are compared [32].”
• Digital transformation and the new logics of business process management (2020, unknown): “Instead of relying on detailed modelling (Dijkman et al., 2011; Van der Aalst, 2013; Vom Brocke et al., 2014), they adopted new logic based on light touch processes that they deemed as su ffi cient and easily con fi gurable.”
• Enabling Flexibility in Process-Aware Information Systems (2012, methodology): “Techniques for identifying similar process models with overlapping behavior are described in [74, 75, 81, 250].”
• Business Process Management: A Comprehensive Survey (2013, unknown): “Since it is often intractable to compare state spaces or execution sequences, these approaches use abstractions of models such as direct succession [8] or eventual succession [189, 223].”