Sequential Decision Making with Medical Interpretation Algorithms in the Semantic Web

Supporting physicians in their daily work with state-of-the art technology is an important ongoing undertaking. If a radiologist wants to see the tumour region of a headscan of a new patient, a system needs to build a workflow of several interpretation algorithms all processing the image in one or the other way. If a lot of such interpretation algorithms are available, the system needs to select viable candidates, choose the optimal interpretation algorithms for the current patient and finally execute them correctly on the right data. We work towards developing such a system by using RDF and OWL to annotate interpretation algorithms and data, executing interpretation algorithms on a data-driven and declarative basis and integrating so-called meta components. These let us flexibly decide which interpretation algorithms to execute in order to optimally solve the current task.