Special Issue on Multi-Level Modeling Process Challenge



  • João Paulo A. Almeida Federal University of Espírito Santo
  • Thomas Kühne Victoria University of Wellington https://orcid.org/0000-0002-7674-2209
  • Marco Montali Free University of Bozen-Bolzano




Multi-Level Modeling, Process Modeling


Multi-level modeling is an extension of traditional two-level object-oriented modeling which over the years has spawned several related solution technologies. These technologies embody a variety of multi-level modeling approaches, with differences spanning the range between superficial detail to fundamental divergence. Understanding those differences, as well as the respective trade-offs of different technologies can be difficult when looking at each technology in isolation and/or when technology demonstration application scenarios are not standardized. This EMISAJ special issue invited solutions to a multi-level modeling process challenge (Almeida et al. 2021), in order to allow contributors to showcase advantages and discuss shortcomings of their technologies. The contributions featured in this special issue therefore do not only support a deeper understanding of each technology respectively, but in combination also support comparisons among technologies.

Author Biographies

João Paulo A. Almeida, Federal University of Espírito Santo

João Paulo A. Almeida is an Associate Professor at the Federal University of Espírito Santo, Brazil, and Senior Member of the Ontology and Conceptual Modeling Research Group (NEMO). His research focuses on the application of ontologies in (multi-level) conceptual modeling, enterprise architecture and enterprise modeling. He received his Ph.D. in Computer Science from the University of Twente, The Netherlands in 2006.

Thomas Kühne, Victoria University of Wellington

Thomas Kühne is an Associate Professor at Victoria University of Wellington, New Zealand. Prior to that he was an Assistant Professor at the Technische Universität Darmstadt, Germany, and an Acting Professor at the University of Mannheim, Germany. His research interests include multi-level modeling and model-driven development. He received his Ph.D. in Computer Science from the Technische Universität Darmstadt, Germany in 1998.

Marco Montali, Free University of Bozen-Bolzano

Marco Montali is a Full Professor and Vice-Dean for Studies at the Free University of Bozen-Bolzano, Italy, and member of Steering Committee the IEEE task force on process mining. His research is at the intersection of artificial intelligence, formal methods, and data science, for the model- and data-driven analysis of business processes and multiagent systems. He received his Ph.D. in Computer Engineering from the University of Bologna, Italy in 2009






Special Issue: Multi-Level Process Challenge