Splendiani Andrea, Burger Albert, Paschke Adrian, Romano Paolo, Marshall M Scott
Rothamsted Research, AL5 J2Q, Harpenden, UK.
J Biomed Semantics. 2011 Mar 7;2 Suppl 1(Suppl 1):S1. doi: 10.1186/2041-1480-2-S1-S1.
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.
语义网为表示和链接生物医学信息提供了一个理想的平台,这是开发和应用分析工具以解决诸如系统生物学和转化医学等数据密集型领域问题的先决条件。与任何新范式一样,采用语义网为生命科学科学界带来了机遇,也提出了问题和挑战:语义网堆栈中的哪些技术对生命科学更有益?生物医学信息是否过于复杂,以至于无法从简单的相互链接表示中受益?采用新的知识表示范式有哪些影响?采用语义网的动机是什么,推动者是谁?生命科学领域会发生语义网革命吗?在SWAT4LS(生命科学语义网应用与工具)系列研讨会进行讨论之后,我们在此报告对这些问题的一些思考。本《生物医学语义学杂志》特刊展示了2009年11月20日在阿姆斯特丹举行的该系列研讨会选定的论文。