Faviki is another entrant in the semantic tagging space which lets you tag your
saved web pages with semantic information from Wikipedia. The idea behind Faviki is that all people should be able to use same tags to identify any web page.
Faviki is a social bookmarking tool which lets you save web pages and suggests semantics tags for your bookmarks as you type the tags as well as the one which have already been used by the community. You can add tags and comments while saving the web pages. Faviki uses DBpedia for suggesting semantic tags. DBpedia is a service which extracts structured information from Wikipedia and publishes the data set in the RDF format which can be downloaded as well as accessed via online access.
To use Faviki, you need to register for the service and then drag the Faviki bookmarklet to your browser’s toolbar.
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