In this work we propose a mechanism for automatically tagging pages with semantic information. The semantic information is extracted from text analytics of the content pages and external sources like DBpedia. The information is used to generate reports in the semantic dimension. Interesting reports based on various measures of interestingness are proposed. 

 

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