A fundamental question for next-generation IS service engineering is:
This question, in turn, leads to the following sub-questions:
Because of the nature of these questions, our Services Research strategy at the Services and Cybersecurity (SCS) group is grounded on a cutting-edge research program in the area of Ontology-Driven Conceptual Modelling.
By leveraging on results from areas such as formal and applied ontology, cognitive science, formal and computational logics, linguistics, as well as model-based engineering, we develop adequate modeling support for service engineers as well as mechanisms for improving existing service implementations.
First, we research models (and model-building support) for service engineering. Especially, we investigate how we can systematically engineer qualitative computational domain representations to support people in solving problems in those domains, and how we can use these representations in model-driven design approaches for IS services.
Second, we research mechanisms for service operations. Especially, we aim at improving system interoperability in heterogeneous environments and research the use of context data to automate adaptive interoperability and service delivery.
Due to the central role and importance of data, our Cybersecurity research strategy at the Services and Cybersecurity (SCS) group follows a data-centric approach. This approach tackles the challenge of defending computer systems as a whole from two different angles, namely by mitigating the risk imposed by ubiquitous data but also by taking the opportunities provided by data richness. First, we research security mechanisms to provide security for data not only while stored and transmitted over networks as implemented by conventional systems but even during data processing. Second, we research the use of data for security and envision a world in which the continuously increasing amounts of data are utilized to identify, analyze, prevent, and respond to cyber-threats. Both research directions are based on the analysis of existing systems and software but also on the design of novel systems.