The evolving landscape of conceptual modeling, shaped by the changing dynamics of modeling standards and specific domain requirements, is further challenged by digitalization advancements such as IoT and CPS. In this dynamic environment, AI models emerge as adaptive solutions, supporting the development of open, intuitive, and user-centric modeling tools vital for the agile advancement of enterprise information systems.

Exploring the of use AI models in conceptual modeling has opened up various opportunities, with particular consideration of the advanced capabilities of Large Language Models (LLMs). Reflecting on past applications of AI in this field is essential for understanding and harnessing the potential of this promising interaction. The ultimate goal is to showcase the effective and semantically relevant utilization of LLMs for conceptual modeling, which requires that these AI models possess the capability of using abstraction to reduce the complexity in a domain for a specific purpose. To enable this capability of human intelligence most relevant for conceptual modeling, a knowledge-driven approach is focused in addition to the data-driven paradigms.

Speaker

Prof. Dr. Dimitris Karagiannis holds a full professor position at the University of Vienna since 1993, leading the Research Group Knowledge Engineering. His main research interests include modelling methods, meta-modelling, knowledge engineering, business process management, enterprise architecture management and artificial intelligence. Besides his engagement in national and EU-funded research projects, Dimitris Karagiannis is the author of research papers and books on Knowledge Databases, Business Process Management, and Knowledge Management. He is the initiator and coordinator of the OMiLAB Book Series on “Domain-Specific Conceptual Modelling: Concepts, Methods and ADOxx Tools”. He serves as an expert in various international conferences and is on the editorial board of several international journals. The industrial application of his meta-modelling research was demonstrated within the BOC Group, a European software- and consulting company, founded in 1995. The scientific applications of his research are applied in the OMiLAB (Open Models Initiative Laboratory), an open collaborative environment for modelling method engineering, which he is the founder of and the scientific lead of its international educational platform, the NEMO Summer School Series.