Faviki

"Like delicious, digg, twitter and others... Faviki uses crowd sourcing to allow one to share interesting web pages one has found, stay up to date on a specific topic of interest, and keep one's bookmarks synchronized across computers. So there is nothing new at that level. If you know del.icio.us, you won't be disoriented. (...) it will be possible to improve the service to allow you to search for things in a much more generic way: you could search by asking Faviki for resources that were tagged with some European Town and the concept Art. If you are searching for "München" Faviki will be able to enlarge the search to Munich, since they will be known to be tags for the same city...

I will leave it as an exercise to the reader to think about other interesting ways to use this structured information to make finding resources easier."

Faviki is a unique social bookmarking service that uses semantic tags based on structured information from Wikipedia. What does that mean, why does it matter, and why should you use another social bookmarking service if you already have hundreds of bookmarks in Delicious?
In this article, let us see why Faviki is an attractive social bookmarking service which makes bookmarking easier, uses smarter tags, and integrates with Delicious as well as Twitter

The  bookmark is at its very core a placeholder.  Whereas a single bookmark will suffice for a cozy read by the fireplace, bookmarking on the Web proves to be another matter entirely. Social bookmarking sites like Delicious and StumbleUpon allow users to tag their bookmarks, essentially leaving a digital breadcrumb.   Tagging enables users to search through their own previously saved bookmarks, those of friends in their networks, and the collective group of social bookmarking Faviki users, to find content related to their keyword interest.  Still, how do I know that other users share my own naming conventions (Semantic.Web vs. Semantic_Web vs. Semantic-Web) or perception of  content meaning (“ dough” as in a slang term for money or a baking ingredient for making pizza) when they tag their bookmarks?  Enter  Faviki, a semantic social bookmarking service.

This wiki is about Faviki, a tool that brings together social bookmarking and Wikipedia using semantic tagging.
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Faviki is simply put the next generation social bookmarking service. "A bookmarking service? You must be kidding?!" I can hear you say in worried exasperation. "How can one innovate in that space?" Not only is it possible to innovate here, let me explain why I moved all my bookmarks from delicious over to faviki.

Like delicious, digg, twitter and others... Faviki uses crowd sourcing to allow one to share interesting web pages one has found, stay up to date on a specific topic of interest, and keep one's bookmarks synchronized across computers. So there is nothing new at that level. If you know del.icio.us, you won't be disoriented.

What is new is that instead of this being one crowd sourced application, it is in fact two. It builds on wikipedia to help you tag your content intelligently with concepts taken from dbpedia. Instead of tagging with strings the meaning of which you only understand at that time, you can have tags that make sense, backed by a real evolving encyclopedia. Sounds simple? Don't be deceived: there is a huge potential in this.

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Why Use Faviki?
Faviki uses universal, common tags, that have Wikipedia-defined meanings. Your world of knowledge captured in your bookmarks is universally connected and discoverable to your friends via these semantic tags.
Tagging is simple – Faviki suggests tags automatically, also allowing you to clarify exactly what you mean.
You do not need to switch from Delicious. You can import all your bookmarks from Delicious. Bookmarks with semantic-rich information saved in Faviki will automatically be saved in Delicious as well.
Automatically share your bookmarks via Twitter.
Multi-language Support: Faviki is the world’s first and only bookmarking service that supports tagging in 15 languages.

Faviki is a semantic bookmarking tool which allows people to organize bookmarks using Wikipedia concepts as tags.