Numerical information is often presented in graphs. However, this medium is problematic for certain audiences such as inexperienced graph readers, people with visual impairments and users of mobile technologies featuring small screens. We have developed a system called iGraph which provides short verbal descriptions with the information depicted in graphs and a way of interacting with it by means of dialogue in natural language. In this paper, we present the general architecture of the system and its representational and querying mechanisms, together with a glimpse of the natural language interface.

Lecture Notes in Computer Science
Department of Psychology

Ferres, L. (Leo), Parush, A, Li, Z. (Zhihong), Oppacher, Y. (Yandu), & Lindgaard, G. (2006). Representing and querying line graphs in natural language: The iGraph system. In Lecture Notes in Computer Science.