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Supporting e-Science Using Semantic Web Technologies – The Semantic Grid

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Semantic e-Science

Part of the book series: Annals of Information Systems ((AOIS,volume 11))

Abstract

The capabilities of the Web have had a very significant impact in facilitating new practice in science: it supports wide-scale information discovery and sharing, facilitating collaboration and enabling widespread participation in digital science, and increasingly it also provides a platform for developing and delivering software and services to support science. In this chapter we focus on the role of the ideas and technologies of the Semantic Web in providing and utilising the infrastructure for science. Our emphasis on Semantic Web and on the joined-up infrastructure to support the increasing scale of data, computation, collaboration and automation as science and computing advance has led to this field being known as the “Semantic Grid”. Since its instigation in 2001 the Semantic Grid community has established a significant body of work, and the approach continues to underpin new scientific practice in multiple disciplines.

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Acknowledgments

This chapter includes material based on information provided by the myGrid, CombeChem and OntoGrid teams. The authors wish to thank these teams and the Semantic Grid community for their assistance in this work.

Author information

Authors and Affiliations

  1. School of Electronics and Computer Science, University of Southampton, Southampton, UK

    David De Roure

  2. School of Computer Science, University of Manchester, Manchester, UK

    Carole Goble

Authors
  1. David De Roure
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  2. Carole Goble
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Corresponding author

Correspondence to David De Roure .

Editor information

Editors and Affiliations

  1. College of Computer Science, Zhejiang University, Zheda Road 38, Hangzhou, 310058, China, People's Republic

    Huajun Chen

  2. Drug Discovery Pte Ltd., Lilly Singapore Centre for, Biomedical Grove 8A, Singapore, 138648, Singapore

    Yimin Wang

  3. Center for Medical Informatics, Yale University School of Medicine, Cedar St. 333, New Haven, 06520-8009, Connecticut, USA

    Kei-Hoi Cheung

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De Roure, D., Goble, C. (2010). Supporting e-Science Using Semantic Web Technologies – The Semantic Grid. In: Chen, H., Wang, Y., Cheung, KH. (eds) Semantic e-Science. Annals of Information Systems, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5908-9_1

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