The NEMO'2019 Summer School is was organized 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.