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

The rapid growth of the Web has led to the proliferation of information sources and content accessible via the Internet. While improvements in hardware capabilities continue to help the speed and the flow of information across networked computers, there remains a major problem for the human user to keep up with the rapid expansion of the Web information space. Although there is plenty of room for computers to help humans to discover, navigate, and integrate information in this vast information space, the way the information is currently represented and structured through the Web is not easily readable to computers. To address this issue, the Semantic Web has emerged. It envisions a new information infrastructure that enables computers to better address the information needs of human users. To realize the Semantic Web vision, a number of standard technologies have been developed. These include the Uniform Resource Identifiers (URI) for identifying objects in the Web space as well as Resource Description Framework (RDF) and Web Ontology Language (OWL) for encoding knowledge in the form of standard machine-readable ontologies. The goal is to migrate from the syntactic Web of documents to the semantic Web of ontologies. The leading organization for facilitating, developing, and promoting these Web-based standards is the World Wide Web Consortium (W3C) (http://www. w3. org).

Zielgruppe

Research

Autoren/Hrsg.

Cheung, Kei-Hoi

Baker, Christopher J. O.

Fachgebiete

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

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.