Faviki.com - Bookmarking with Semantic Tags

Faviki is a newly launched social bookmarking site that takes advantage of Wikipedia’s semantic tagging capabilities. Unlike other social bookmarking sites, the user doesn’t have to create an obscure or wrong tag, Faviki will actually suggest a tag for you based upon Wikipedia terms. Which makes sense, so that you don’t have to search through a dozens of different tags to find the same thing. This way, everyone will use the same standardized Wikipedia based tags. Other than that, Faviki has the same features as any other bookmarking site. You can download the toolbar to easily save and mark sites you like. You can also search your own tags, or view the site’s most popular tags. Unfortunately, you can’t import your faves from other services, but the structured tagging is well worth it.

“Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge.”

Faviki is the next generation in social bookmarking. There are a lot of implications for semantic search and semantic tagging. It makes this a lot more efficient and easier for the user.

Will people like the tagging feature enough to switch to Faviki? Does it offer anything else to differentiate itself from the competition?