Semantic Web

Revolutionizing Knowledge Discovery in the Life Sciences
2007
ISBN: 978-0-387-48436-5
Verlag: Springer US

Buch, Englisch, 446 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1850 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Cheung, Kei-Hoi

Baker, Christopher J. O.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Industrielle Biotechnologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Geisteswissenschaften Philosophie Wissenschaftstheorie, Wissenschaftsphilosophie
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbanken & das Web
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Wissenschaften: Theorie, Epistemologie, Methodik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Geisteswissenschaften Philosophie Naturphilosophie, Philosophie und Evolution
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Database and Literature Integration.- Semantic Web Approach to Database Integration in the Life Sciences.- Querying Semantic Web Contents.- Knowledge Acquisition from the Biomedical Literature.- Ontologies in the Life Sciences.- Biological Ontologies.- Clinical Ontologies for Discovery Applications.- Ontology Engineering for Biological Applications.- The Evaluation of Ontologies.- OWL for the Novice: A Logical Perspective.- Ontology Visualization.- Techniques for Ontology Visualization.- On Visualization of OWL Ontologies.- Ontologies in Action.- Applying OWL Reasoning to Genomic Data.- Can Semantic Web Technologies Enable Translational Medicine?.- Ontology Design for Biomedical Text Mining.- Using Distributed Knowledge.- Sembowser - Semantic Biological Web Services Registry.- Agent Technologies in the Life Sciences.- Knowledge Discovery for Biology with Taverna.- On the Success of the 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.

Über Autor(innen)

Christopher Baker is a Principle Investigator at the Knowledge Discovery Department of the Institute for Infocomm Research (IR), a member of the Agency for Science, Technology and Research (A*STAR) in Singapore. Dr Baker was formerly Bioinformatics Project Manager of the Génome Québec funded project, ’Ontologies, the semantic web and intelligent systems for genomics’ where he coordinated the application of knowledge management technologies to fungal genomic data sets. Prior to this he was Group Leader In-silico Discovery at Ecopia BioSciences Inc. where he masterminded key portions of the DecipherIT™ bioinformatics software suite and managed the genomic annotation team. Dr Baker received post doctoral training at Iogen Corporation and the University of Toronto after completing his Ph. D. studies in Environmental Microbiology and Enzymology at the University of Wales, Cardiff, UK.

Dr. Cheung is currently an Associate Professor at the Center for Medical Informatics, Yale University School of Medicine. Dr. Cheung is a bioinformatician with a Ph.D. in Computer Science. He has established a broad base of collaboration with life scientists, computational biologists, and computer scientists. Dr. Cheung has published extensively in the field of bioinformatics. He is one of the core faculty members in the Yale Ph.D. Program in Computational Biology and Bioinformatics. In addition, he is a Principal Investigator of two research grants (one was awarded by the National Institutes of Health and the other was awarded by the National Science Foundation). Dr. Cheung’s research interests include biological database and tool integration. Recently, Dr. Cheung has embarked on the research and development of Semantic Web in the bioscience domain.