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DocuBurst: Visualizing Document Content using Language Structure
Author(s) -
Collins Christopher,
Carpendale Sheelagh,
Penn Gerald
Publication year - 2009
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2009.01439.x
Subject(s) - computer science , zoom , visualization , focus (optics) , information retrieval , granularity , natural language processing , space (punctuation) , word (group theory) , information visualization , artificial intelligence , programming language , linguistics , physics , philosophy , optics , petroleum engineering , engineering , lens (geology) , operating system
Textual data is at the forefront of information management problems today. One response has been the development of visualizations of text data. These visualizations, commonly based on simple attributes such as relative word frequency, have become increasingly popular tools. We extend this direction, presenting the first visualization of document content which combines word frequency with the human‐created structure in lexical databases to create a visualization that also reflects semantic content. DocuBurst is a radial, space‐filling layout of hyponymy (the IS‐A relation), overlaid with occurrence counts of words in a document of interest to provide visual summaries at varying levels of granularity. Interactive document analysis is supported with geometric and semantic zoom, selectable focus on individual words, and linked access to source text.