aiSee: Term Variants Graph

Term variants graph

A term classes/term variants graph as produced by TermWatch, a data mining system. Courtesy of F. Ibekwe-SanJuan, Université Jean Moulin Lyon 3, and E. SanJuan, Université de Metz.

“My research interests revolve around automated systems for processing textual data for various applications, such as scientific and technological watch, terminology update and structuring, intelligent information retrieval and text mining.

For these applications, I integrate shallow linguistic knowledge into a clustering algorithm which produces classes based on syntactic relations (head/modifier variations). The linguistic units used for clustering are term candidates extracted from raw texts. The variation search programs and the single-link clustering algorithm are written in Awk. They first build graphs of variants which are later clustered into classes using alternatively variation relations dealing with modifier and head words in a term.

These classes are then visualized using aiSee. They ideally depict the current research topics in a field. Particular attention is paid to needs for thematic trends” survey for scientific and technological watch. The powerful aiSee interface allows for an intelligent exploration of the internal and external structures of classes.

Fidelia Ibekwe-SanJuan, Université Jean Moulin Lyon 3

White papers