Jingxuan Tu
Description: Semantic Visualization of Scientific Data
We are developing semantic visualization techniques in order to enhance exploration and enable discovery over large datasets of complex networks of relations. Semantic visualization is a method of enabling exploration and discovery over large datasets of complex networks by exploiting the semantics of the relations in them. This involves (i) NLP to extract named entities, relations and knowledge graphs from the original data; (ii) indexing the output and creating representations for all relevant entities an
We have also developed an NLP Question Answering system called the Covid-QA System , based on our Language Application Grid platform within the Galaxy .
If you’re asked to log-in to view visualization dashboards linked below , use username semvizuser and password semviz (all lower case).
Jingxuan Tu