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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.

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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.

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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.

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