Kai-Uwe Schäfer

Computer Science is about structuring data, systems, and the enterprise as a whole. Much of bad quality in IT comes from data without structure, systems without architecture and enterprise without integration concepts. As an IT consultant I see my primary value in finding ways to ease integration by improving structure and consistency of data and system architecture. I do this with pragmatic and lean methodologies, especially in the area of enterprise architecture which is often criticized for its remoteness and questionable value. Over the past few years my interest in semantic applications, graphs, data science and ontology engineering increased. I am convinced that ontologies and other model-driven approaches will considerably improve the quality and outcome of computer science as an immersive industrial discipline.