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. © 2011 Springer-Verlag.
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CITATION STYLE
Chen, J., Jia, J., & Duan, L. (2011). DOM semantic expansion-based extraction of topical information from web pages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6988 LNCS, pp. 343–350). https://doi.org/10.1007/978-3-642-23982-3_42
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