Semantic e-Science (eBook, PDF)

Redaktion: Chen, Huajun; Cheung, Kei-Hoi; Wang, Yimin

• Format: PDF

Produktbeschreibung

Preface Huajun Chen, Yimin Wang, and Kei Cheung Supporting e-Science using Semantic Web Technologies - The Semantic Grid David De Roure and Carole Goble Semantic Disclosure in an e-Science Environment M. Scott Marshall, Marco Roos, Edgar Meij, Sophia Katrenko, Willem Robert van Hage, and Pieter W. Adriaans A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations Hock Beng Lim, Mudasser Iqbal, Yuxia Yao, and Wenqiang Wang Developing Ontologies within Decentralised Settings Alexander Garcia, Kieran O'Neill, Leyla Jael Garcia, Phillip Lord, Robert Stevens, Oscar Corcho, and Frank Gibson Semantic Technologies for Searching in e-Sceince Grids Amitava Biswas, Suneil Mohan, and Rabi Mahapatra BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction Yu Pan, Enrico Pontelli, and Son Cao Tran Near Miss Detection in Nursing: Rules and Semantics Mikhail Simonov and Flavia Mazzitelli Toward Autonomous Mining of the Sensor Web Peisheng Zhao, Liping Di,and Genong Yu Towards Knowledge-Based Life Science Publication Repositories Vít Novácek, Tudor Groza, and Siegfried Handschuh

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 352
• Erscheinungstermin: 2. September 2010
• Englisch
• ISBN-13: 9781441959089
• Artikelnr.: 37357688

Autorenporträt

Huajun Chen received his B.S. from the Department of Biochemical Engineering, and Ph.D. from the College of Computer Science, both from Zhejiang University. At present, he serves as an associate professor in the college of computer science at Zheijiang University and was a visiting researcher at the school of computer science, Carnegie Mellon University. He is currently working for the China 973 "Semantic Grid" initiative and the leader of the e-Science DartGrid semantic grid project. Yimin Wang is an associate information consultant in Lilly Singapore Centre for Drug Discovery. He is currently leading projects related to Semantic Web R&D in the division of Integrative Computational Science to support drug discovery research. Before joining Lilly Singapore, he was a research associate at the University of Karlsruhe, Institute of Applied Informatics and Formal Description Methods (AIFB). He received his MS in 2005 after studying Advanced Computer Science in the Medical Informatics Group at University of Manchester, supervised by Prof. Alan Rector. Dr. Kei Cheung is an Associate Professor at the Yale Center for Medical Informatics. He received his PhD degree in Computer Science from the University of Connecticut. Since his PhD graduation, Dr. Cheung has been a faculty member at the Yale University School of Medicine. Dr. Cheung has a joint appointment with the Computer Science Department and Genetics Department at Yale. Dr. Cheung's primary research interest lies in the area of bioinformatics database and tool integration. Recently, he has embarked on the exploration of Semantic Web in the context of Life Sciences (including Neuroscience) data and tool integration. Dr. Cheung edited Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences (Springer) and served as the chair of the First International Workshop on Health Care and Life Sciences Data Integrationfor the Semantic Web, which was held cooperatively with the WWW2007 conference. He was he Guest Editor of the Special Issue: "Semantic BioMed Mashup", Journal of Biomedical Informatics. Dr. Cheung is also an invited expert to the Semantic Web Health Care and Life Science Interest Group launched by the World Wide Web Consortium.

Inhaltsangabe

Supporting e-Science Using Semantic Web Technologies - The Semantic Grid.- Semantic Disclosure in an e-Science Environment.- A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations.- Developing Ontologies within Decentralised Settings.- Semantic Technologies for Searching in e-Science Grids.- BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction.- Near-Miss Detection in Nursing: Rules and Semantics.- Toward Autonomous Mining of the Sensor Web.- Towards Knowledge-Based Life Science Publication Repositories.