refer is an annotation, visualization and recommendation system based on Linked Open Data and Semantic Web Technologies. It aims to improve the user’s and author’s experience while curating and navigating in blogs, multimedia platforms, and archives and is implemented as a freely available Wordpress plugin. For more information, please visit http://refer.cx.
KEA is a named entity annotation system based on a fine-granular context model taking into account heterogeneous text sources as well as text created by automated multimedia analysis. The source texts can have different levels of accuracy, completeness, granularity and reliability which influence the determination of the current context. Ambiguity is solved by selecting entity candidates with the highest level of probability according to the predetermined context.