Anja Jentzsch

TL;DR: An overview of the DBpedia community project is given, including its architecture, technical implementation, maintenance, internationalisation, usage statistics and applications, including DBpedia one of the central interlinking hubs in the Linked Open Data (LOD) cloud.

TL;DR: The past and ongoing work of Linking Open Drug Data is presented and the growing importance of Linked Data as a foundation for pharmaceutical R&D data sharing is discussed.

TL;DR: This work proposes a novel blocking method called MultiBlock which uses a multidimensional index in which similar objects are located near each other which works on complex link specications which aggregate several dierent similarity measures.

TL;DR: This work describes a collaborative effort to produce a prototype Translational Medicine Knowledge Base capable of answering questions relating to clinical practice and pharmaceutical drug discovery and demonstrates the use of Semantic Web technologies in the integration of patient and biomedical data.

TL;DR: This paper devise Ducc, a scalable and efficient approach to the problem of finding all unique and non-unique column combinations in big datasets, which first model the problem as a graph coloring problem and analyze the pruning effect of individual combinations, and presents the hybrid column-based pruning technique.