Klaus-Peter Scherer

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Self-learning support systems are already being successfully used to support sophisticated processes. For the widespread industrial use, there are still challenges in terms of accessibility with respect to the process and the scalability in the context of large amounts of data. This paper provides an example-driven view on the Bishop project for Big Data(More)
Ontology evaluation is an important method supporting the lifecycle of ontology engineering. In particular, in the context of self-learning support systems that aim at supporting ontology learning the evaluation of the learned ontology is crucial. In order to provide widespread application, e.g., in industrial use cases and Big Data contexts, there are also(More)
Following episodes of environmental contamination, health professionals are limited in their ability to detect adverse health effects in surrounding communities due to lack of relevant baseline health data, resources, and appropriate control populations. The objective of this study was to ascertain the feasibility of using administrative health data for(More)
Unerwünschte Arzneimittelwirkungen stellen ein häufiges medizinisches Problem dar. Insbesondere die Überempfindlichkeitsreaktionen sind wegen ihrer dosisunabhängigen, nicht vorhersehbaren Natur häufig beeindruckend und verunsichernd. Die klinischen Manifestationen an der Haut sind vielfältig und reichen von makulösen Exanthemen über bullöse Reaktionen zu(More)