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Abstract HTML Views: 213 PDF Downloads: 137 Total Views/Downloads: 350
As the Internet becomes more and more deeply connected with our life, the Internet has brought together mass
text material, and it is still in explosive growth. In order to quickly and accurately to help users find the required content,
the traditional solution is to use a search engine. However, the results of existing automatic webpage summarization systems
for search engine are of low quality. Because they just based on statistical method, gather some sentences in the web
document beside the search phrases. Neither symbolizes the subject of the document, nor take into account the user search
phrases. According to the shortages, An automatic webpage summarization systems is realized.
On the basis of the work done, this paper proposed an automatic text summarization method based on relation graph and
text structure analysis. This method firstly segment text into semantic paragraphs. For each semantic paragraph, a subject
term discover method based on relation graph analysis is proposed. At last, both search phrase and document subject are
take into account, it extracts summary according to the guidance of the subject terms.