Paper accepted at ACM Digital Libraries 2000.
Extracting and Visualizing Semantic
in Retrieval Results for Browsing
Indiana University, School of Library and Information Science
10th Street & Jordan Avenue, Main Library 019
Bloomington, IN. 47405 USA
The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are applied for semantic data analysis. A modified Boltzman algorithm is used to layout documents in a two-dimensional space for interactive exploration. The approach was implemented to visualize retrieval results from two different databases: the Science Citation Index Expanded and the Dido Image Bank.
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Figure 1: Java Interface to DAIV188 (click for larger image)
Figure 2: The MONET Cluster (click for larger image)
HomeFacultyKaty BörnerDL00 Publication
Last modified: 03/06/2000