Guest Talk: Semantic methods for biomedical knowledge discovery
Associate Professor of Medicine (Biomedical Informatics), Stanford University
Chair of the W3C Semantic Web for Health Care and the Life Sciences Interest Group
Date/Time: 04.04.2016, 11:00
With its focus on investigating the basis for the sustained existence of living systems, modern biology has always been a fertile, if not challenging, domain for knowledge discovery. Despite the existence of millions of scientific articles, thousands of databases, and hundreds of ontologies, our ability to efficiently reuse our collective knowledge is hampered by incompatible formats, partial and overlapping standards, and heterogeneous data access. I will discuss our efforts to structure biomedical knowledge so that it becomes easier to test hypotheses and make predictions for drug discovery and drug safety. As the amount of linked open data increases and the portfolio of semantic technologies continues to mature, researchers worldwide will be strategically poised to pursue increasingly sophisticated knowledge discovery to understand human health and disease.
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