Abstract
We propose to demonstrate a web-based prototype system that integrates the meta-search approach with existing information analysis and visualization technologies to facilitate concept-based searching behavior over the medical domain. The system distinguishes itself from other meta-search engines through two features. It incorporates the co-occurrence analysis and existing ontology to understand user's query. It also utilizes the self-organizing map (SOM) to categorize and visualize search results.
| Original language | English (US) |
|---|---|
| Pages | 386 |
| Number of pages | 1 |
| State | Published - 2002 |
| Event | Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries - Portland, OR, United States Duration: Jul 14 2002 → Jul 18 2002 |
Other
| Other | Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries |
|---|---|
| Country/Territory | United States |
| City | Portland, OR |
| Period | 7/14/02 → 7/18/02 |
Keywords
- Categorization
- Concept space
- Meta search
- Visualization
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Science Applications
- Library and Information Sciences