Finite State Machines in the Context of Knowledge Based Transformations (Invited)

Schick, Johannes; Wagner, Marc; Lippe, Wolfram-Manfred

Abstract

In this paper we apply a novel approach for transforming models between textual and graphical representations using knowledge graphs within the sphere of meta-modeling and model transformations. We will use an example involving a finite state machine (FSM). FSMs are basic components in many modeling languages. Unlike traditional transformation methods, our technique uniquely addresses the limitations in transforming complex models between modalities, specifically textual and graphical representations. This approach has significant implications for the development of advanced AI-driven multimodal transformation tools and knowledge graphs, providing a robust framework for future research and practical applications in various domains.