RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …

A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

Interference between pharmacological substances can cause serious medical injuries.
Correctly predicting so-called drug-drug interactions (DDI) does not only reduce these cases …

Access to biomedical data is increasingly important to enable data driven science in the
research community. The Linked Open Data (LOD) principles (by Tim Berner-Lee) have …

Triplestores are data management systems for storing and querying RDF data. Over recent
years, various benchmarks have been proposed to assess the performance of triplestores …

The runtime optimization of federated SPARQL query engines is of central importance to
ensure the usability of the Web of Data in real-world applications. The efficient selection of …

Motivation: Data integration promises to be one of the main catalysts in enabling new
insights to be drawn from the wealth of biological data available publicly. However, the …

While several approaches to query a federation of SPARQL endpoints have been proposed
in the literature, very little is known about the effectiveness of these approaches and the …

In this deliberately provocative position paper, we claim that more than ten years into Linked
Data there are still (too?) many unresolved challenges towards arriving at a truly machine …

Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data
storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) …