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A Pool of Topics: Interactive Relational Topic Visualization for Information Discovery

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Visual Information Communication, (2010)
DOI: 10.1007/978-1-4419-0312-9_13

Abstract

In this paper, we present a novel relational visualization that supports people at information discovery tasks in digital libraries. This visualization displays search query results structured into topics and highlights the intersections between them. The proposed visual representation introduces interactive drag-and-drop operations for manipulation of the generated topics. These operations mirror the human online searching strategies that involve boolean AND, OR, and NOT operators. In doing so, the information seeker can refine (or relax) a search query in an interactive way during a focusing or a defocusing phase. The intersections of topics are made explicitly visible to enable the information seeker to avoid frustrating no hits situations.

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