Introduction.- Part I: Database and Literature Integration.- Semantic Web Approach to Database Integration in the Life Sciences.- Querying Semantic Web Contents.- Knowledge Acquisition from the Biomedical Literature.- Part II: Biological Ontologies - Clinical Ontologies for Discovery Applications.- Ontology Engineering for Biological Applications.- The Evaluation of Ontologies: Toward Improved Semantic Interoperability.- OWL for the Novice: A Logical Perspective.- PART III: Ontology Visualization.- Techniques for Ontology Visualization.- On Visualization of OWL Ontologies.- PART IV: Ontologies in Action.- Applying OWL Reasoning to Genomics.- Can Semantic Web Technologies Enable Translational Medicine?.- Ontology Design for Biomedical Text Mining.- PART V: Using Distributed Knowledge.- SemBOWSER Semantic Biological Web Services Registry.- Agent Technologies in the Life Sciences.- Knowledge Discovery for Biology with Taverna.- PART VI: On the Success of Semantic Web in the Life Sciences.- Factors Influencing the Adoption of the Semantic Web in the Life Sciences.- Semantic Web Standards: Legal and Social Issues and Implications.
This book introduces advanced semantic web technologies, illustrating their utility and highlighting their implementation in biological, medical, and clinical scenarios. It covers topics ranging from database, ontology, and visualization to semantic web services and workflows. The volume also details the factors impacting on the establishment of the semantic web in life science and the legal challenges that will impact on its proliferation.
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