Difference between revisions of "Building a Biomedical Semantic Network in Wikipedia with Semantic Wiki Links"
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| − | '''Building a Biomedical Semantic Network in Wikipedia with Semantic Wiki Links''' - scientific work related to Wikipedia quality published in 2012, written by Benjamin M. Good, Erik L. Clarke, Salvatore Loguercio and Andrew I. Su. | + | '''Building a Biomedical Semantic Network in Wikipedia with Semantic Wiki Links''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Benjamin M. Good]], [[Erik L. Clarke]], [[Salvatore Loguercio]] and [[Andrew I. Su]]. |
== Overview == | == Overview == | ||
| − | 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, authors introduce a straightforward method that allows Wikipedia editors to embed computable semantic relations directly in the context of current Wikipedia articles. In addition, authors 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. | + | 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, authors introduce a straightforward method that allows [[Wikipedia editors]] to embed computable semantic relations directly in the context of current Wikipedia articles. In addition, authors 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. |
Revision as of 08:09, 4 October 2019
Building a Biomedical Semantic Network in Wikipedia with Semantic Wiki Links - scientific work related to Wikipedia quality published in 2012, written by Benjamin M. Good, Erik L. Clarke, Salvatore Loguercio and Andrew I. Su.
Overview
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, authors introduce a straightforward method that allows Wikipedia editors to embed computable semantic relations directly in the context of current Wikipedia articles. In addition, authors 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.
