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To overcome the limitations of conventional Web search engines in retrieving Web documents relevant to users' queries, one has to exploit semantic structures embedded in Web documents. We propose a Web Information Retrieval (WebIR) model for Web documents containing semantic elements which are text segments enclosed by special tags. These special tags,(More)
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