%0 Conference Paper %1 Rohrer1998 %A Rohrer, Randall M. %A Sibert, John L. %A Ebert, David S. %B INFOVIS '98: Proceedings of the 1998 IEEE Symposium on Information Visualization %C Washington, DC, USA %D 1998 %I IEEE Computer Society %K %P 121--129 %T The Shape of Shakespeare: Visualizing Text using Implicit Surfaces %X Information visualization focuses on the use of visual means for exploring non-visual information. While free-form text is a rich, common source of information, visualization of text is a challenging problem since text is inherently non-spatial. This paper explores the use of implicit surface models for visualizing text. We describe several techniques for text visualization that aid in understanding document content and document relationships. A simple method is defined for mapping document content to shape. By comparing the shapes of multiple documents, global content similarities and differences may be noted. In addition, we describe a visual clustering method in which documents are arranged in 3D based upon similarity scoring. Documents deemed closely related blend together as a single connected shape. Hence, a document corpus becomes a collection of shapes that reflect inter-document relationships. These techniques provide methods to visualize individual documents as well as corpus meta-data. We then combine the two techniques to produce transparent clusters enclosing individual document shapes. This provides a way to visualize both local and global contextual information. Finally, we elaborate on several potential applications of these methods. %@ 0-8186-9093-3

@inproceedings{Rohrer1998, abstract = {Information visualization focuses on the use of visual means for exploring non-visual information. While free-form text is a rich, common source of information, visualization of text is a challenging problem since text is inherently non-spatial. This paper explores the use of implicit surface models for visualizing text. We describe several techniques for text visualization that aid in understanding document content and document relationships. A simple method is defined for mapping document content to shape. By comparing the shapes of multiple documents, global content similarities and differences may be noted. In addition, we describe a visual clustering method in which documents are arranged in 3D based upon similarity scoring. Documents deemed closely related blend together as a single connected shape. Hence, a document corpus becomes a collection of shapes that reflect inter-document relationships. These techniques provide methods to visualize individual documents as well as corpus meta-data. We then combine the two techniques to produce transparent clusters enclosing individual document shapes. This provides a way to visualize both local and global contextual information. Finally, we elaborate on several potential applications of these methods.}, added-at = {2012-07-13T11:59:17.000+0200}, address = {Washington, DC, USA}, author = {Rohrer, Randall M. and Sibert, John L. and Ebert, David S.}, biburl = {https://www.bibsonomy.org/bibtex/21fb49b5547a4f3ffe6e08a2dd7575c01/jabreftest}, booktitle = {INFOVIS '98: Proceedings of the 1998 IEEE Symposium on Information Visualization}, file = {Rohrer1998.pdf:1998/Rohrer1998.pdf:PDF}, groups = {public}, interhash = {a5fe68c977167b0f4319a28b7579269e}, intrahash = {1fb49b5547a4f3ffe6e08a2dd7575c01}, isbn = {0-8186-9093-3}, keywords = {}, location = {North Carolina}, pages = {121--129}, publisher = {IEEE Computer Society}, timestamp = {2012-07-13T11:59:17.000+0200}, title = {The Shape of Shakespeare: Visualizing Text using Implicit Surfaces}, username = {jabreftest}, year = 1998 }