Abstract
Various statistical and pattern recognition techniques, such as concept spaces and category maps in the Illinois Digital Library project, has been explored to solve the semantic interoperability problem in DLI-1. Self-organizing category map is identified as a powerful tool for information summarization. However, visualizing a large-scale self-organizing map in a restricted size of window is difficult. For smaller regions, displaying labels is infeasible. In this paper, two visualization tools, fisheye view and fractal view, are presented. It assists users to visualize a large-scale self-organizing map geographically and semantically.
| Original language | English (US) |
|---|---|
| Pages | 258-259 |
| Number of pages | 2 |
| DOIs | |
| State | Published - 1999 |
| Event | Proceedings of the 1999 4th ACM International Conference on Digital Libraries (DL'99) - Berkeley, CA, USA Duration: Aug 11 1999 → Aug 14 1999 |
Conference
| Conference | Proceedings of the 1999 4th ACM International Conference on Digital Libraries (DL'99) |
|---|---|
| City | Berkeley, CA, USA |
| Period | 8/11/99 → 8/14/99 |
Keywords
- Information visualization
- clustering
- fisheye view
- fractal view
- information retrieval
- self-organizing map
- semantic interoperability
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Information Systems
- Library and Information Sciences