Chris Borckholder

TL;DR: This paper presents the architecture and implementation of this VPH-Share Cloud and data management platform and goes into detail about two different data integration approaches: relational data mediation, which has been realized on top of a distributed data mediation engine, and semantic data integration, which is supported on the basis of the SPARQL federation extension.

TL;DR: An integrated framework, the Vienna Cloud Environment, is presented for building a generic, service-based data infrastructure for biomedical data integration needs, which consists of diverse service types used to expose and link several open drug and clinical trials data sources under a unified interface.

TL;DR: The data infrastructure that has emerged in context of the VPH-Share project is described, which offers tools that cover the whole life-cycle of datasets including integration, selection, semantic annotation and publishing datasets as a service.

TL;DR: The data service provisioning framework that builds up the data infrastructure, focusing on the deployment of data integration services in the hybrid Cloud, the associated mechanism for securing access to patient-specific datasets, and performance results for different deployment scenarios relevant within the scope of the project are presented.

TL;DR: A comprehensive user interface enables end users to search and explore bio-medical data with the support of semantic technologies, shielding them from the complexity of the underlying IT environment.