Abstract
Domain visualization aims to reveal the most significant intellectual structure associated with a subject domain. This article illustrates how domain visualization enables novel ways of accessing scientific literatures in digital libraries. The domain of computer graphics is visualized based on a citation analysis of articles appeared in the prestigious IEEE Computer Graphics and Applications over 18 years (1982-1999). The derived high-dimensional domain structure is uncovered through the use of various visualization and animation techniques. Author co-citation maps open up new ways of visual information retrieval. Not only can users explore domain visualizations as a virtual landscape, but also invoke queries directly to a digital library. In this article, the domain visualization is linked to various citation-related information of scientific literatures on the Web through NEC's Researchlndex system.
Original language | English |
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Title of host publication | Proceedings - IEEE International Conference on Information Visualisation, IV 2000 |
Editors | Ebad Banissi, Mark W. McK. Bannatyne, Chaomei Chen, Farzad Khosrowshahi, Muhammad Sarfraz, Anna Ursyn |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 261-267 |
Number of pages | 7 |
ISBN (Electronic) | 0769507433 |
DOIs | |
Publication status | Published - 2000 |
Event | 4th IEEE International Conference on Information Visualisation, IV 2000 - London, United Kingdom Duration: 2000 Jul 19 → 2000 Jul 21 |
Publication series
Name | Proceedings of the International Conference on Information Visualisation |
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Volume | 2000-July |
ISSN (Print) | 1093-9547 |
Conference
Conference | 4th IEEE International Conference on Information Visualisation, IV 2000 |
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Country/Territory | United Kingdom |
City | London |
Period | 00/7/19 → 00/7/21 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition