We extracted the most dominant cluster of topics throughout the years in the WWW-related Computer Science community, partially thanks to the Latent Dirichlet Allocation algorithm for topic detection. Each cluster encloses several themes, which are represented as a thread in the following visualization. Click on one thread to list papers about this theme below the visualization, and possibly add it to your Mendeley account. It is a great way to fastly browse relevant articles for your research and tag them on mendeley for later reading. Even if you are familiar with WWW, ISWC, ... conferences series, we are convinced that you will still identify relevant papers you had not yet found ! Any paper in the Semantic Web Dog Food corpus without an abstract is ignored in this application.

10 topics 20 topics 30 topics


Click on the trend for more infos.

The darker, the more papers over the studied period of time.