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 Nováček, Tudor Groza, and Siegfried Handschuh
The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.
Huajun Chen
Workflow e-Science informatics knowledge management linear optimization ontology semantic web service-oriented computing