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|ErsterAutorNachname=Chen
|Author=Huajun Chen
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|Abstract=The Semantic Web technologies provide enhanced capabilities that allow data and the meaning of the data to be shared and reused across application, enterprise, and community boundaries, better enabling integrative research and more effective knowledge discovery. This special issue is intended to give an introduction of the state-of-the-art of Semantic Web technologies and describe how such technologies would be used to build the e-Science infrastructure for biomedical communities. Six papers have been selected and included, featuring different approaches and experiences in a variety of biomedical domains.
 
|Abstract=The Semantic Web technologies provide enhanced capabilities that allow data and the meaning of the data to be shared and reused across application, enterprise, and community boundaries, better enabling integrative research and more effective knowledge discovery. This special issue is intended to give an introduction of the state-of-the-art of Semantic Web technologies and describe how such technologies would be used to build the e-Science infrastructure for biomedical communities. Six papers have been selected and included, featuring different approaches and experiences in a variety of biomedical domains.
 
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|Link PDF=http://www.aifb.uni-karlsruhe.de/WBS/ywa/publications/wang07Intro_BMC.pdf
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|Download=2007_1606_Chen_Introduction_to_1.pdf
|Downloadlink PDF=http://www.aifb.uni-karlsruhe.de/WBS/ywa/publications/wang07Intro_BMC.pdf
 
 
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|Forschungsgebiet=Semantic Web Infrastructure, Grid Computing, Informationssysteme,
 
 
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Aktuelle Version vom 15. Oktober 2015, 11:45 Uhr


Introduction to semantic e-Science in biomedicine


Introduction to semantic e-Science in biomedicine



Veröffentlicht: 2007 Mai

Journal: BMC Bioinformatics


Volume: 8 (Suppl 3)


Referierte Veröffentlichung

BibTeX




Kurzfassung
The Semantic Web technologies provide enhanced capabilities that allow data and the meaning of the data to be shared and reused across application, enterprise, and community boundaries, better enabling integrative research and more effective knowledge discovery. This special issue is intended to give an introduction of the state-of-the-art of Semantic Web technologies and describe how such technologies would be used to build the e-Science infrastructure for biomedical communities. Six papers have been selected and included, featuring different approaches and experiences in a variety of biomedical domains.

Download: Media:2007_1606_Chen_Introduction_to_1.pdf

Projekt

NeOn



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet

Semantic Web Infrastructure, Grid Computing, Informationssysteme