The life sciences domain has been an early adopter of linked data and, a considerable portion of the Linked Open Data cloud is composed of life sciences data sets. The deluge of in owing biomedical data, partially driven by high-throughput gene sequencing technologies, is a key contributor and motor to these developments. The available data sets require integration according to international standards, large-scale distributed infrastructures, speci c techniques for data access, and o er data analytics bene ts for decision support. Especially in combination with Semantic Web and Linked Data technologies, these promises to enable the processing of large as well as semantically heterogeneous data sources and the capturing of new knowledge from those. This workshop sought papers dealing with life sciences and biomedical data processing, as well as with the amalgamation with Linked Data and Semantic Web technologies for better data analytics, knowledge discovery and usertargeted applications. The main goal was to provide useful information for the Knowledge Acquisition research community as well as the working Data Scientist.