STORIES in Time: A Graph-Based Interface for News Tracking and Discovery

Abstract

Abstract—We present the STORIES methods and tool for (a) learning an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users to interact and explore in order to discover temporal “story stages ” depending on their interests; and (c) supporting the search for documents and facts that pertain to the user-constructed story stages. In addition, we give an overview of evaluation studies of the tool. Keywords-news analysis; temporal text mining; burstiness; visualisation I. INTRODUCTION a STORIES is a news summarisation approach that consists of story learning (done by the system) and graphical support for story understanding and story search (provided to the user). It (a) provides convenient interfaces to both the