Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for 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 (cocacola, coca-cola, coca_cola, CocaCola). 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.
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English Deutsch Español Suomi Français Italiano 日本語 Nederlands Norsk (bokmål) Polski Português Русский Svenska 中文
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...
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W3C SW Case Study by Faviki: Semantic Tags
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...
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Zemanta Launches Public Semantic API
December 9
Today our friends and partners at Zemanta launched a public semantic API, as well as a front side SDK.
Zemanta API analyses unstructured documents/texts and returns five types of content objects...
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Faviki makes it to the ReadWriteWeb’s annual top 10 list of Semantic applications to watch
November 22
ReadWriteWeb, a popular blog about web technology, has started publishing its annual list of “10 Semantic Web Apps to Watch” last year. This year, I’m happy to announce that Faviki made it to that list.
