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.
|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.|
|Number of pages||7|
|Publication status||Published - 2000|
|Event||4th IEEE International Conference on Information Visualisation, IV 2000 - London, United Kingdom|
Duration: 2000 Jul 19 → 2000 Jul 21
|Name||Proceedings of the International Conference on Information Visualisation|
|Conference||4th IEEE International Conference on Information Visualisation, IV 2000|
|Period||00/7/19 → 00/7/21|
Bibliographical notePublisher Copyright:
© 2000 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition