Covers topics ranging from database, ontology, visualization, to semantic web services and workflows
Features the intersection of Semantic Web and Life Sciences
Gives examples/scenarios illustrating different Semantic Web applications in the life science domain
Discusses the limitations and obstacles that need to be overcome for Semantic Web to better meet the current and future needs of life science researchers