DOM semantic expansion-based extraction of topical information from web pages

Authors:
Junjie Chen;Junyao Jia;Liguo Duan
Affiliations:
Computer Science & Technology College, Taiyuan University of Technology, Taiyuan, China;Computer Science & Technology College, Taiyuan University of Technology, Taiyuan, China;Computer Science & Technology College, Taiyuan University of Technology, Taiyuan, China
Venue:
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Year:
2011

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Abstract

Web pages usually contain much irrelevant information that customers don't need. Thus, in order to extract relevant information from the complicated information heap, effective methods to extract information are required. Aiming at the semi-structured characteristic of HTML, theme-relevant information in web pages could be extracted by semantic pruning, in the adoption of DOM-presentation, combined with the feature of web structure and the fuzzy classification of keywords.