DocuBurst: Document Content Visualization Using Language Structure
نویسنده
چکیده
We present the first visualization of document content which takes advantage of the human-created structure in lexical databases. We use the WordNet hyponymy (IS-A) relationship as the structure for radial, space-filling trees which quickly reveal the concepts contained within a document of interest. Interactive techniques of zoom, filter, and details-on-demand support document analysis. The visualization can be generalized to multiple documents and other linguistic databases.
منابع مشابه
DocuBurst: Visualizing Document Content using Language Structure
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 h...
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We present the first visualization of document content which takes advantage of the human-created structure in lexical databases. We use an accepted design paradigm to generate visualizations which improve the usability and utility of WordNet as the backbone for document content visualization. A radial, space-filling layout of hyponymy (IS-A relation) is presented with interactive techniques of...
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