Semantic Wiki Links article published

A while back, I posted an entry here called "Stepping towards a Semantic Wikipedia" that quickly became the most-visited post on this blog.  Today, after several months of waiting, I discovered by accident that the official peer-reviewed article on the same subject is now available (the editors never bothered to tell us that it came out).  The article elaborates on a pattern that allows Wikipedia users to write content directly into the semantic Web.  The article is called "Building a biomedical semantic network in Wikipedia with Semantic Wiki Links" and is now available at DATABASE: The Journal of Biological Databases and Curation.  Here is the abstract:
"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."
I will also be presenting a poster about this and related work at the upcoming Biocuration meeting in Washington DC.  Stop by for a chat!

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