Home NEMO 2019 Lectures Ontology-based Enterprise Modeling for Human and Machine Interpretation

Ontology-based Enterprise Modeling for Human and Machine Interpretation

Prof. Dr. Knut Hinkelmann

Prof. Dr. Knut Hinkelmann

University of Applied Sciences and Arts Northwestern Switzerland FHNW, Switzerland

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.

Lecture at NEMO2019

Date/Time: Thursday, July 18, 2019 at 15:00