Modelling Framework for a Semantic Internet of Things

Keywords: CyberPhysical Systems, Design Thinking, Semantic Alignment

Affiliation: University of Vienna

Area of Application

The digital transformation age calls for the co-construction of collective artefacts that are able to align domain influences, business influences, technology influences, and operational influences. Thereby, knowledge has to be expressed in a way that is intuitive for humans while being presice enough for automated processing.

Selected fields include: Industry 4.0, Smart Cities, Society 5.0, and Knowledge-Based Robotics, from which the latter is illustrated in the following video:



The s*IoT modelling framework tackles a challenge in the digital transformation age, which is to bridge the gap between design concepts from design thinking and functional capabilities from cyber physical systems. Following a model-based specialiation of the design-science paradigm to bridge the gap, "smart" models are the artefacts under scrutiny. In detail, "Smart" Models are a composition of conceptual models and execution environments. Conceptual models decompose design concepts from design thinking while execution environments abstract functional capabilities from cyber physical systems. The composition of both is enabled by artificial intelligence technologies, knowledge representation schemes, and semantic services.

The OMiLAB Vienna Modelling Method Space and the OMiLAB Vienna Digital Product Space provide means to research, build, and validate "Smart" Models. The task in the OMiLAB Vienna Modelling Method Space is to conceptualize the necessary design methodology, metamodel, and modelling method. The task in the OMiLAB Vienna Digital Product Space is to implement and deploy a modelling tool. The involved artefacts are refined by their agile evaluation through experiments.