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?
What are Semantic Tags?
If you browse the [NO LONGER WORKS] “Avatar” tag in Delicious, you will find that some bookmarks refer to Avatar the movie, while others refer to Avatar as used in Twitter and Clip Art. In other words, Delicious does not know exactly what you mean when you give an “Avatar“ tag to a bookmark. Whereas on Wikipedia, you can see the disambiguation page for Avatar, which shows that Avatar may be a tag that can be used for the 2009 movie, as well as for several other films, graphical representations of people, games, books, and more.
Faviki is a social bookmarking service that uses Wikipedia-style semantic tags, so your tag specifies exactly what you mean when you bookmark something. This open standard format is called Common Tags.
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.
Using the Bookmarklet
Go to the Faviki bookmarklet page to install it in your browser. When you are on a web page you want to bookmark, click the bookmarklet. It shows you suggested tags for that bookmark. You are free to choose from the suggested tags and add your own by typing and selecting from the auto-complete list.
Along with tagging, Faviki also allows you to enter additional information about the bookmark. Click the “edit bookmark >” link to go to a page where you can add your own notes and copy text from the webpage to add to your bookmark. This makes it easy for your friends to discover exactly why you thought the page worth bookmarking.
Semantic Tagging At Work
Suppose I am bookmarking Susan’s article at MakeUseOf on Fedora 12. As Wikipedia shows, Fedora can mean many different things – the Linux OS, a 1978 film, or even a KGB agent! When I type “Fedora” in the tagging box of the bookmarklet, I can choose precisely what I mean:
Auto Save to Delicious, Auto Share on Twitter
Go to the Edit Profile page and enter your Delicious and Twitter account information.
You can enable auto save to Delicious and auto sharing on Twitter. You can also specify how tags with spaces, like “Google Chrome”, are handled.
Importing Delicious Bookmarks
You can import all your existing precious collection of bookmarks from Delicious. Faviki will help convert your existing tags into semantic Common Tags. Go to Import from the top menu to add your Delicious account information. After you’re done, click Import Bookmarks to start the import process. Faviki will now import your Delicious bookmarks, analyze your custom tags, and suggest equivalent Common Tags. Here is how Faviki displayed suggestions for my import:
The rows shaded in dark are the tags that you need to correct because Faviki could not find their meaning. In order to clarify what I meant with my “Films” tag, I enter “movie” and click search. Faviki presents a drop-down of search results from Wikipedia, from which I choose the correct meaning – “Film”, in this case.
Also, you can see in the above example that my “windows” tag was actually ambiguous since it could have easily meant windows in our homes. Faviki automatically suggested the correct semantic tag in this case – “Microsoft Windows”. What this means is that my MS Windows bookmarks are now easily searchable and shareable with other users interested in MS Windows. Other users who may be searching for home windows will not see these bookmarks.
Review all the dark rows and correct tags as necessary. You can click the “+” sign to expand a row and show all the bookmarks with that tag. When you are done, click the Save and initiate import button. Be patient, the importing can take a long time, and you will be notified by email. Meanwhile, you can continue using Faviki for your new bookmarks!
Does Faviki‘s ability to use semantic tags appeal to you? Do you look forward to giving a whole new meaning to your bookmark collection? Share your thoughts in the comments!