The need and opportunity to discover therapeutics for rare or orphan diseases are
enormous. Due to limited prevalence and/or commercial potential, of the approximately …

Integrative Biology (IB) uses experimental or computational quantitative technologies to
characterize biological systems at the molecular, cellular, tissue and population levels. IB …

Background Recently there has been an explosion of new data sources about genes,
proteins, genetic variations, chemical compounds, diseases and drugs. Integration of these …

The rapidly increasing amount of public data in chemistry and biology provides new
opportunities for large-scale data mining for drug discovery. Systematic integration of these …

Ontology matching consists of finding correspondences between entities of two ontologies.
OAEI campaigns aim at comparing ontology matching systems on precisely defined test …

With respect to large-scale, static, Linked Data corpora, in this paper we discuss scalable
and distributed methods for entity consolidation (aka. smushing, entity resolution, object …

Background Translational medicine requires the integration of knowledge using
heterogeneous data from health care to the life sciences. Here, we describe a collaborative …

The overwhelming amount of available scholarly literature in the life sciences poses
significant challenges to scientists wishing to keep up with important developments related …

Members of the W3C Health Care and Life Sciences Interest Group (HCLS IG) have
published a variety of genomic and drug-related data sets as Resource Description …

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 …