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).
Auflage
1st ed. Softcover of orig. ed. 2007
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 26 mm
Gewicht
ISBN-13
978-1-4419-4303-3 (9781441943033)
DOI
10.1007/978-0-387-48438-9
Schweitzer Klassifikation
Christopher Baker is a Principle Investigator at the Knowledge Discovery Department of the Institute for Infocomm Research (I2R), 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 DecipherITT 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.
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.
