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

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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.