Discovery of interactive graphs for understanding and searching time-indexed corpora |
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Authors: | Ilija Subašić Bettina Berendt |
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Affiliation: | (1) Computer Science Department, University of Nebraska at Omaha, Omaha, NE 68106, USA;(2) Computer Science Department, SUNY at Albany, Albany, NY 12222, USA |
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Abstract: | Rich information spaces (like the Web or scientific publications) are full of “stories”: sets of statements that evolve over
time, manifested as, for example, collections of news articles reporting events that relate to an evolving crime investigation,
sets of news articles and blog posts accompanying the development of a political election campaign, or sequences of scientific
papers on a topic. In this paper, we formulate the problem of discovering such stories as Evolutionary Theme Pattern Discovery,
Summary and Exploration (ETP3). We propose a method and a visualisation tool for solving ETP3 by understanding, searching
and interacting with such stories and their underlying documents. In contrast to existing approaches, our method concentrates
on relational information and on local patterns rather than on the occurrence of individual concepts and global models. In addition, it relies on interactive graphs
rather than natural language as the abstracted story representations. Furthermore, we present an evaluation framework. Two
real-life case studies are used to illustrate and evaluate the method and tool. |
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