• Jun ZhaoEmail author
  • Oscar Corcho
  • Paolo Missier
  • Khalid Belhajjame
  • David Newmann
  • David de Roure
  • Carole A. Goble


This chapter looks into how the use of semantic technologies can provide support to common needs in eScience projects, including data-intensive science, facilitating experiment knowledge reuse and recycle among scientists, lowering the barriers of knowledge exchange for interdisciplinary research, and bridging the gap between data from different sources and the gap between data sharing and digital scholarly publication. To illustrate this, we describe a set of pioneering semantic eScience projects that cover a diversity of application domains including bioinformatics, biology, chemistry, physics, environmental science, and astronomy, and we summarize some of the open issues and future lines of research and development in this area.


Data integration e-Science knowledge transfer provenance quality semantic publishing semantic Web trust usability Web of Data 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jun Zhao
    • 1
    Email author
  • Oscar Corcho
    • 2
  • Paolo Missier
    • 3
  • Khalid Belhajjame
    • 3
  • David Newmann
    • 4
  • David de Roure
    • 5
  • Carole A. Goble
    • 3
  1. 1.Department of ZoologyOxford UniversityOxfordUK
  2. 2.Ontology Engineering Group, Departamento de Inteligencia Artificial, Facultad de InformáticaUniversidad Politécnica de MadridBoadilla del MonteSpain
  3. 3.School of Computer ScienceUniversity of ManchesterManchesterUK
  4. 4.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK
  5. 5.Oxford e-Research CentreUniversity of OxfordOxfordUK

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