Biomedical semantics in the Semantic Web

被引：5
|
作者：
Splendiani A. [1 ]
Burger A. [2 ]
Paschke A. [3 ]
Romano P. [4 ]
Marshall M.S. [5 ]
机构：
[1] Rothamsted Research, Harpenden
[2] Heriot-Watt University and MRC Human Genetics Unit, Edinburgh
[3] Freie Universitaet Berlin, Berlin
[4] National Cancer Research Institute of Genoa
[5] Leiden University Medical Center, University of Amsterdam
来源：
Journal of Biomedical Semantics | / 2卷 / Suppl 1期
基金：
英国医学研究理事会;
关键词：
Life Science; Data Integration; Resource Description Framework; Biomedical Ontology; Link Open Data;
D O I：
10.1186/2041-1480-2-S1-S1
中图分类号：
学科分类号：
摘要：
The Semantic Web offers an ideal platform for representing and linking biomedical information, which is a prerequisite for the development and application of analytical tools to address problems in data-intensive areas such as systems biology and translational medicine. As for any new paradigm, the adoption of the Semantic Web offers opportunities and poses questions and challenges to the life sciences scientific community: which technologies in the Semantic Web stack will be more beneficial for the life sciences? Is biomedical information too complex to benefit from simple interlinked representations? What are the implications of adopting a new paradigm for knowledge representation? What are the incentives for the adoption of the Semantic Web, and who are the facilitators? Is there going to be a Semantic Web revolution in the life sciences? We report here a few reflections on these questions, following discussions at the SWAT4LS (Semantic Web Applications and Tools for Life Sciences) workshop series, of which this Journal of Biomedical Semantics special issue presents selected papers from the 2009 edition, held in Amsterdam on November 20th. © 2011 Splendiani et al; licensee BioMed Central Ltd.
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