Using semantic treemaps to categorize and visualize bookmark files

Ying Feng; Katy Borner

doi:10.1117/12.458789

12 March 2002 Using semantic treemaps to categorize and visualize bookmark files

Ying Feng, Katy Borner

Proceedings Volume 4665, Visualization and Data Analysis 2002; (2002) https://doi.org/10.1117/12.458789
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

As more and more information is available on the Internet, search engines and bookmark tools become very popular. However, most search tools are based on character-level matching without any semantic analysis, and users have to manually organize their bookmarks or favorite collections without any convenient tool to help them identify the subjects of the Web pages. In this paper, we introduce an interactive tool that automatically analyzes, categorizes, and visualizes the semantic relationships of web pages in personal bookmark or favorites collections based on their semantic similarity. Sophisticated data analysis methods are applied to retrieve and analyze the full text of the Web pages. The Web pages are clustered hierarchically based on their semantic similarities. A utility measure is recursively applied to determine the best partitions that are visualized by what we call the Semantic Treemap. Various interaction methods such as scrolling, zooming, expanding, selecting, searching, filtering etc. are provided to facilitate viewing and querying for information. Furthermore, the hierarchical organization as well as the semantic similarities among Web pages can be exported and visualized in a collaborative 3D environment, allowing a group of people to compare and share each other's bookmarks.

Citation Download Citation

Ying Feng and Katy Borner "Using semantic treemaps to categorize and visualize bookmark files", Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); https://doi.org/10.1117/12.458789

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