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This article is part of the supplement: Semantic e-Science in Biomedicine

Open Access Introduction

Introduction to semantic e-Science in biomedicine

Huajun Chen13*, Yimin Wang2 and Zhaohui Wu1

Author affiliations

1 College of Computer Science, Zhejiang University, Hangzhou, 310027, P.R. China

2 Institute AIFB, University of Karlsruhe (TH) Karlsruhe, 76128, Germany

3 Yale Center for Medical Informatics, Yale University, New Haven, 06511, USA

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Citation and License

BMC Bioinformatics 2007, 8(Suppl 3):S1  doi:10.1186/1471-2105-8-S3-S1

Published: 9 May 2007

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.