The Scripps Research Institute, La Jolla, CA 92037, USA.
Database (Oxford). 2012 Mar 20;2012:bar060. doi: 10.1093/database/bar060. Print 2012.
Wikipedia is increasingly used as a platform for collaborative data curation, but its current technical implementation has significant limitations that hinder its use in biocuration applications. Specifically, while editors can easily link between two articles in Wikipedia to indicate a relationship, there is no way to indicate the nature of that relationship in a way that is computationally accessible to the system or to external developers. For example, in addition to noting a relationship between a gene and a disease, it would be useful to differentiate the cases where genetic mutation or altered expression causes the disease. Here, we introduce a straightforward method that allows Wikipedia editors to embed computable semantic relations directly in the context of current Wikipedia articles. In addition, we demonstrate two novel applications enabled by the presence of these new relationships. The first is a dynamically generated information box that can be rendered on all semantically enhanced Wikipedia articles. The second is a prototype gene annotation system that draws its content from the gene-centric articles on Wikipedia and exposes the new semantic relationships to enable previously impossible, user-defined queries. DATABASE URL: http://en.wikipedia.org/wiki/Portal:Gene_Wiki.
维基百科越来越多地被用作协同数据管理的平台,但它目前的技术实现存在重大限制,阻碍了它在生物管理应用中的使用。具体来说,虽然编辑可以轻松地在维基百科中的两篇文章之间建立链接以指示关系,但没有办法以计算方式访问系统或外部开发人员可访问的方式来指示关系的性质。例如,除了指出基因和疾病之间的关系外,区分基因突变或表达改变导致疾病的情况将非常有用。在这里,我们介绍了一种简单的方法,允许维基百科编辑直接在当前维基百科文章的上下文中嵌入可计算的语义关系。此外,我们展示了两个由这些新关系启用的新应用程序。第一个是一个动态生成的信息框,可以在所有语义增强的维基百科文章上呈现。第二个是基因注释系统的原型,它从维基百科上以基因为中心的文章中提取内容,并公开新的语义关系,以实现以前不可能的用户定义查询。数据库 URL:http://en.wikipedia.org/wiki/Portal:Gene_Wiki。