Ontology-based Enterprise Modelling for Human and Machine Interpretation
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. While humans prefer graphical or textual models, semantic annotation makes the knowledge in models machine-interpretable. The approach has been applied in the CloudSocket project for the selection of cloud services to achieve Business Process as a Service. This presentation also 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 metamodel. 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.
Lecture at NEMO2021
Date/Time: Friday, July 23, 2021 at 13:00