The NEMO'2023 Summer School was organized by OMiLAB at the University of Vienna

These are the slides and study material of the lecture of Knut Hinkelmann.

Ontology-based Enterprise Modeling for Human and Machine Interpretation

The continuous alignment of business and IT in a rapidly changing environment is a grand challenge for today's enterprises. Decision makers use models to understand and analyze a situation, to compare alternatives and to find solutions. Additionally, there are systems that support decision makers through data analysis, calculation or simulation. While humans prefer graphical or textual models, machine-interpretable models have to be represented in a formal language. This lecture describes a meta-modelling approach, which combines human-interpretable graphical enterprise architecture models with machine-interpretable enterprise ontologies. A metamodel which is represented as a formal ontology determines the semantics of the modeling language. To create a graphical modelling language, a graphical notation can be added for each class of the ontology. Every time a new modelling element is created during modelling, an instance for the corresponding class is created in the ontology. Thus, models for humans and machines are based on the same internal representation. The approach has been applied in the CloudSocket project for selection of cloud services in order to achieve Business Process as a Service.

Material

• Lecture slides
• Publications
• Hinkelmann et al. (2016) A new Paradigm for the Continuous Alignment of Business and IT
• Hinkelmann et al.(2018) Ontology-Based Metamodeling
• Laurenzi et al. (2018) An Agile and Ontology-Aided Modeling Environment