Andreas M. Wahl

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Configurable publish-subscribe middleware provides efficient support for the diverse Quality-of-Service (QoS) requirements of large-scale distributed applications. However, choosing the optimal middleware configuration to suit a specific application primarily remains a manual task within the responsibility of application developers. Existing configurable(More)
BACKGROUND At present there is no consensus on irradiation treatment volumes for intermediate to high-risk primary cancers or recurrent disease. Conventional imaging modalities, such as CT, MRI and transrectal ultrasound, are considered suboptimal for treatment decisions. Choline-PET/CT might be considered as the imaging modality in radiooncology to select(More)
The α-OffSync project offers a synchronization concept for α-Flow, an electronic process support in heterogeneous inter-institutional scenarios in healthcare. A distributed case file is provided by α-Flow to represent workflow schemas as documents which are shared coequally to content documents. α-OffSync allows the detection and(More)
Integrating data from very large, dynamic, heterogeneous and autonomous data sources is a key requirement to satisfy growing information needs. In order to allow for ad-hoc answering of analytical questions, necessary up-front integration effort must be minimized and data integration systems must be adapted to the expectations and requirements of their(More)
—Distributed event-based systems have risen in significance over the last few years across many different application domains. Still, the configuration of available communication middleware solutions remains a tedious task driven by technical terms and manual performance optimization. We present the M 2 etis Quality-of-service-aware Semantics Modeling(More)
The paper describes an ongoing project that pursues the idea of query-driven data integration. Instead of first creating a common global schema and fetching, transforming, and loading the data to be integrated, we start with the queries. They are taken as a specification of information need and thus as the overall purpose of integration. Two repositories(More)
We introduce Query-driven Knowledge-Sharing Systems (QKSS), which extend data management systems with knowledge-sharing capabilities to facilitate collaboration among different teams of data scientists. Relevant tacit knowledge about data sources is extracted from SQL query logs and externalized to support data source discovery and data integration. By(More)