Abstract. In this talk, the origin of conceptual modelling languages as the adequate vocabulary for knowledge representation and processing is introduced. The conceptualization process is required to enable machine interpretation of these languages. For that it is necessary to understand how these are conceptually structured. The “Purpose-Specificity Framework” is discussed as an instrument to classify the utilization, considering propagation techniques of domain semantics and model-value functionalities. Impact in the sense of scientific/commercial uptake is closely related to the purpose of the language, linked to the application needs. Cases from the OMiLAB Community of Practice (www.omilab.org) are presented to explain the applicability of the framework and to discuss further research directions.

Brief Biography. Dimitris Karagiannis is a full professor for Business Informatics at the University of Vienna since 1993, leading the Research Group Knowledge Engineering (www.dke.univie.ac.at). He received his PhD degree from the Technical University Berlin in 1987. The same year he joined the Research Institute for Application-oriented Knowledge Processing in Ulm as division head for “Enterprise Information Systems”. He holds an honorary professorship from the Babes-Bolyai University in Cluj-Napoca, Romania. His research interests include meta-modelling, knowledge engineering, business process management, enterprise architecture management and artificial intelligence techniques. The industrial application of his meta-modelling research was demonstrated within the BOC Group (www.boc-group.com), an international software- and consulting company, founded in 1995. The scientific applications of his research impacts the Open Models Laboratory—OMiLAB (www.omilab.org), established as a non-profit organization since 2018, located in Berlin/Germany.