A Methodology to Enhance the Semantics of Links between PubMed Publications and Markers in the Human Genome

Links in life science sources capture important biological knowledge. However, current simple physical link implementations do not explicitly represent this knowledge so that it can be easily shared among scientists. We develop a methodology for link extraction and generation, and link labeling to produce an enhanced e-link. The e-link associates each existing link with a link label that captures semantics of the link. We develop a machine assisted tool for curators to produce e-links and we develop a search interface for biologists to discover interesting e-links.