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 …

The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

Background Birth defects are functional and structural abnormalities that impact about 1 in
33 births in the United States. They have been attributed to genetic and other factors such as …

Community detection, aiming to group nodes based on their connections, plays an important
role in network analysis since communities, treated as meta-nodes, allow us to create a …

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 …

The biomedical data landscape is fragmented with several isolated, heterogeneous data
and knowledge sources, which use varying formats, syntaxes, schemas, and entity …

There are several Knowledge Graphs expressed in RDF (Resource Description Framework)
that aggregate/integrate data from various sources for providing unified access services and …

Linked Open Data promises to provide guiding principles to publish interlinked knowledge
graphs on the Web in the form of findable, accessible, interoperable, and reusable datasets …

Background Minimizing adverse reactions caused by drug-drug interactions (DDIs) has
always been a prominent research topic in clinical pharmacology. Detecting all possible …

While the biomedical community has published several “open data” sources in the last
decade, most researchers still endure severe logistical and technical challenges to discover …