Visual Interfaces for Semantic Information Retrieval and Browsing

Katy Borner(2002).Visual Interfaces for Semantic Information Retrieval and Browsing. Groimenko, Vladimir and Chen, Chaomei(Eds), Visualizing the Semantic Web: XML-based Internet and Information Visualization, Springer Verlag, Chapter 7, pp. 99-115

Summary

The paper describes several approaches to semantic information retrieval and browsing, including Linguistic Approaches, ontology approaches and latent semantic analysis. Also research on visual interfaces for digital libraries and information workspaces are reviewed, mainly focuses on literatures related to two-dimensional map and Three-Dimensional Information Spaces. The inner workings of LVis Digital Library Visualizer is explained.

Key points

1. Visual interfaces do not provide the user-centred cues that help in remembering locations.

2. LVis Digital Library Visualizer’s explanation

(1) LVis Digital Library Visualizer uses latent semantic analysis to extract the semantic similarity of documents; applies clustering techniques and a so-called utility measure to select the partition that best reveals the semantic structure of a document; and visualized the result in a two-dimensional desktop screen or a in a three-dimensional virtual reality environment.

(2) LVis Digital Library Visualizer implemented two prototype interfaces to ease browsing through retrieval results of citation data and image data.

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