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1st Workshop on

Domain-Specific Modeling Methods and Tools - OMiLAB Nodes Experience & Knowledge Exchange (OMiLAB-KNOW)

September 15th, 2023 - co-located with BIR’23 (https://bir2023.unicam.it/Workshops)

Workshop Description

logo The goal of the workshop is to stimulate discussions on the requirements, use, design decisions, tooling and evaluations regarding domain-specific conceptual modeling methods in the context of Business Informatics Research.

Discussions will be facilitated by the current activities and experiences of nodes in the OMiLAB network and community of practice [1], including lessons learned from recent projects where modeling methods played an enabling role [2-3]. Results from the network members [4-9] typically include modeling tools, modeling method components or extensions, model-driven artifacts, applications of domain-specific modeling, empirical evaluation strategies. OMiLAB nodes are invited to share such results, as well as visions potentially leading to such results.

Both empirical experimentation insights [10] and design-oriented research [11] are welcome. The integration of conceptual modeling topics in curricular contents and associated teaching experiences [12] are also typical concerns for the workshop’s scope.

The workshop also welcomes researchers and educators from outside the OMiLAB network who are active in the fields of knowledge engineering, enterprise modeling and domain-specific modeling, having a general interest in the value of conceptual models and the diversity of modeling purposes. Knowledge exchanges with other modeling-centric communities are expected to drive debates and positions with diverse perspectives.

Various stages of research progress can be reported in the workshop submissions - from (short) position and vision papers to (full) research papers and experience reports.

References

  1. The OMiLAB Community (2022) Development of conceptual models and realization of modelling tools within the ADOxx meta-modelling environment: a living paper. In: Domain-Specific Conceptual Modeling: Concepts, Methods and ADOxx tools, Springer, pp. 25-40
  2. DigiFoF: Digital design skills for factories of the future: https://www.digifof.eu/
  3. FAIRWork: Flexibilization of complex ecsosystems using democratic AI based decision support and recommendation systems at work: https://fairwork-project.eu/
  4. Lantow, B., Sandkuhl, K., Stirna, J. (2022) Enterprise modeling with 4EM - perspectives and method. In Domain-Specific Conceptual Modeling: concepts, methods and ADOxx tools, Springer, pp. 95-120
  5. Medini, K., Boucher, X. (2019) Specifying a modelling language for PSS Engineering – A development method and an operational tool, Computer in industry 108: 89-103
  6. Pirola, F., Pezzotta, G., Amlashi, D.M., Cavalieri, S. (2022) Design and engineering of product-service systems (PSS): the SEEM methodology and modeling toolkit. In Domain-Specific Conceptual Modeling: concepts, methods and ADOxx tools, Springer, pp. 385-407
  7. Richter, H.D., Lantow, B., Pröpper, T. (2022) itsVALUE - Modelling and Analysing Value Streams for IT Services. In Domain-Specific Conceptual Modeling: concepts, methods and ADOxx tools, Springer, pp. 161-183
  8. Woitsch, R. (2020) Industrial digital environments in action: the OMiLAB innovation corner. In Proceedings of PoEM 2020, LNBIP 400, Springer, pp. 8-22
  9. Chiș, A (2020) A modeling method for model-driven API management, Complex Systems Informatics and Modeling Quarterly, No 25, https://csimq-journals.rtu.lv/article/view/csimq.2020-25.01
  10. Gutschmidt, A., Lantow, B., Hellmanzik, B., Ramforth, B., Wiese, M. & Martins, E. (2023) Participatory modeling from a stakeholder perspective: On the influence of collaboration and revisions on psychological ownership and perceived model quality, Software and Systems Modeling 22: 13–29
  11. Karagiannis, D., Buchmann, R. A., Utz, W. (2022) The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development. Computers in Industry 138: 103631
  12. Ghiran, A. M., Osman, C. C., Buchmann R. A. (2020) Advancing Conceptual Modeling Education Towards a Generalized Model Value Proposition, Advances in Information Systems Development, Selected papers from ISD 2019, LNISO 39, Springer, pp. 1-18

Relevant Topics

  • Domain specific modeling languages for business informatics
  • Modeling method requirements and evaluations
  • Design and deployment of conceptual modeling methods
  • Enterprise modeling for business ecosystems
  • Conceptual modeling for digital innovation
  • Developing modeling tools and tool extensions
  • From conceptual models to digital twins and knowledge graphs
  • Model-driven engineering and model-driven artifacts
  • Enterprise architecture modeling
  • Applications, scenarios and experience reports on model use and model value
  • Empirical studies on model and modeling method qualities
  • Teaching cases and experiences with conceptual modeling