Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you tag your bookmarks using Wikipedia concepts as tags. In Faviki, everybody uses same tags from the world's largest collection of knowledge!
Faviki uses semantic tags - references to unique concepts that have their own URLs. This solves the problem of having different tags for the same concept (Coca-Cola, cocacola, coke). Thanks to Zemanta suggestions, you can add semantic tags with one click!
Semantic tags allow you to find your bookmarks easier. Faviki categorizes your tags automatically, keeping your and your friend's bookmarks and interests well organized.
Semantic tagging is not limited to English language. Faviki lets you tag in 14 different languages by suggesting tags from DBpedia. All popular world languages are supported: Chinese, Japanese, French, German, Spanish, Portuguese, Italian, Russian...
July 2
The latest release delivers better control over tagging, custom names for tags, defining new tags, Save API and OpenID support.
We are happy to announce the addition of several new features. The purpose of the new features is mainly to facilitate the use of common tags from Wikipedia, as well as to overcome Wikipedia's limitations...
June 11
As strong believers in the semantic tagging, we are happy to announce that today one big step toward realization of the idea is made.
Faviki is involved in the development of the new open tagging format – Common Tag...
December 10
We are honored to have been invited to write a case study about Faviki and the idea behind semantic tags for the W3C Semantic Web Activity website.
The goal of W3C SW case studies is, primarily, to help the Web community at large understand and appreciate the advantages of possibly using Semantic Web technologies...