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Wiki, the collaborative web authoring system makes Web a huge collection of information, as the Wiki pages are authored by anybody all over the world. These Wiki pages, if annotated semantically, will serve as a universal pool of intellectual resources that can be read by machines too. This paper presents an analytical study and implementation of making the Wiki pages semantic by using HTML5 semantic elements and annotating with microdata. And using the semantics the search module is enhanced to provide accurate results.
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