A Visual Query Interface for a Very Large Newspaper Article Repository
Kienreich, W.
Sabol, V.
Granitzer, M.
Klieber, W.
Lux, M.
Sarka, W.
Know-Center, Competence Center for Knowledge-Based Applications & Syst.;
Abstract
The archives of large national and international news agencies typically contain millions of articles featuring significant textual content and annotated metadata. Boolean queries and relevance ranked result lists have been traditional means of inquiry in such a context. This article presents an interface for query formulation and visual query analysis for the news article repository of the Austrian Press Agency, combining traditional means of inquiry with several visualisation components. All parts of the interface are fully synchronised, allowing users to employ the power of visual metaphors for analysis and refinement while retaining the simplicity of conventional query formulation
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