Visualization of Internet Web pages based on authority and word frequency

Authors

David Navarro, University of Texas-Pan American

Date of Award

12-2003

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Dr. Richard H. Fowler

Second Advisor

Dr. Zhixiang Chen

Third Advisor

Dr. Wendy A. Lawrence-Fowler

Abstract

The growth, accessibility, and integration of the World Wide Web with contemporary information utilization provides a rich domain in which to explore information retrieval systems. One approach in the evolution of retrieval systems couples successful and long-standing techniques of information retrieval with new techniques, such as visualization. The system developed and reported in this thesis takes this approach. It builds upon well-known techniques of information retrieval including stemming, keyword matching, and cosine similarity. It also incorporates the new and relatively successful hubs and authority approach, which describes Web documents by their reference by other documents. Finally, it develops a new and unique approach to document visualization that encodes these metrics in a single visual representation. This new, easily scannable representation, allows the user to interact with search results as the scope of search is expanded dynamically across the Web.

Comments

Copyright 2003 David Navarro. All Rights Reserved.

https://www.proquest.com/dissertations-theses/visualization-internet-web-pages-based-on/docview/250757041/se-2?accountid=7119

Granting Institution

University of Texas-Pan American