Introduction to semantic e-Science in biomedicine
Huajun Chen*1,3, Yimin Wang2 and Zhaohui Wu1
Address: 1College of Computer Science, Zhejiang University, Hangzhou, 310027, P.R. China, 2Institute AIFB, University of Karlsruhe (TH) Karlsruhe, 76128, Germany and 3Yale Center for Medical Informatics, Yale University, New Haven, 06511, USA Email: Huajun Chen* - email@example.com; Yimin Wang - firstname.lastname@example.org; Zhaohui Wu - email@example.com * Corresponding author
Published: 9 May 2007
Semantic E-Science in Biomedicine Yimin Wang, Zhaohui Wu, Huajun Chen Research
BMC Bioinformatics 2007, 8(Suppl 3):S1
This article is available from: http://www.biomedcentral.com/1471-2105/8/S3/S1 © 2007 Chen et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Advances in biotechnology and computing technology have made the information growth in biomedicine phenomenal. With the exponential growth in complexity and scope of modern biomedical research, it is becoming more and more...