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Given a query on the PASCAL database maintained by the INIST, we design userinterfaces to visualize and browse two types of graphs extracted fromabstracts: 1) the graph of all associations between authors (co-author graph),2) the graph of strong associations between authors and terms automaticallyextracted from abstracts and grouped using linguistic variations. We adapt forthis purpose the TermWatch system that comprises a term extractor, a relationidentifier which yields the terminological network and a clustering module. Theresults are output on two interfaces: a graphic one mapping the clusters in a2D space and a terminological hypertext network allowing the user tointeractively explore results and return to source texts.

Visualization of association graphs for assisting the interpretation of classifications