Visualization of association graphs for assisting the interpretation of classifications

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

• Type: Journal
• Year: 2008
• Where: CORR
• Authors: Eric SanJuan, Ivana Roche
• Keywords: CORR 2008, Education, Linguistic Variations, PASCAL Database, Strong Associations