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2011 | OriginalPaper | Buchkapitel

17. eScience

verfasst von : Jun Zhao, Oscar Corcho, Paolo Missier, Khalid Belhajjame, David Newmann, David de Roure, Carole A. Goble

Erschienen in: Handbook of Semantic Web Technologies

Verlag: Springer Berlin Heidelberg

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Abstract

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.

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Metadaten
Titel
eScience
verfasst von
Jun Zhao
Oscar Corcho
Paolo Missier
Khalid Belhajjame
David Newmann
David de Roure
Carole A. Goble
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-92913-0_17