A Comparison of Keyword- and Keyterm-based Methods for Automatic Web Site Summarization


Yongzheng Zhang
Evangelos Milios
Nur Zincir-Heywood

Author Addresses: 

Faculty of Computer Science
Dalhousie University
6050 University Ave.
PO Box 15000
Halifax, Nova Scotia, Canada
B3H 4R2


Automatic Web site summarization, which is based on keyword and key sentence extraction from narrative text, is an effective means of making the content of a Web site easily accessible to Web users. This work is directed towards summary generation based on multi-word terms extracted by the C-value/NC-value method. Keyterm-based summaries are compared with keyword-based summaries for a list of test Web sites. The evaluation indicates that keyterm-based summaries are significantly better than keyword-based summaries, which have previously been shown to be as informative as human-authored summaries.

Tech Report Number: 
Report Date: 
October 2, 2004
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