Hypernotation.orgHypernotation is a new method of publishing structured data on the Web, that results in browsable atomic data with machine-readable and hackable URLs.

To see what it looks like in practice, check out the DBpedia dataset published using Hypernotation. Before you start browsing the data it’s good idea to read through the examples.

more on Hypernotation.org

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We are happy to announce the new import feature that will allow Faviki users to import their bookmarks from Delicious and convert free-word tags to Common tags!

The import process is semi-automatic. Before the import begins, the most frequently used Delicious tags are shown with their suggested Common tag equivalents. Users can confirm appropriate suggestions and make corrections – the more tags are reviewed, the better.

During the import process, remaining tags are either converted automatically or left unresolved. Unresolved tags will be colored red. They can be used for search but they will not be shown in the tag cloud. Unresolved tags don’t have to be defined right away: they can be defined the next time they are used for tagging but there is also an option to define them explicitly.

To import tags or turn on automatic posting to Delicious or Twitter, you have to add your service accounts to Faviki:

To add a Delicious account, go to the “Edit profile” page and click on “Delicious account settings“. After you have entered your account information, if you want all your bookmarks from Faviki to be saved to Delicious, you can turn on the “Save my bookmarks to Delicious” option and adjust tag options.

To import bookmarks from Delicious, click on the “Import Bookmarks” link. You will be able to review suggestions for most frequently used tags before the import begins.

To add a Twitter account, go to the “Edit profile” page and click on the “Twitter account settings” link. Upon entering your account information, you can turn on the “Save my bookmarks to Twitter” option and adjust your tag options. This way, all your public bookmarks will be automatically posted to your Twitter account.

In the previous release of Faviki, Common tagging has become easier by giving users the possibility to map freely labeled tags to Common tags. Today’s feature is another step toward the same goal – making Faviki easier to integrate with other services. After the import, Faviki users can keep on bookmarking using the tags they are already used to – now mapped to semantically enriched Common tags. By turning on automatic posting to Delicious and Twitter, they don’t even have to leave behind their old services.

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today announced a new import feature. It allows users to import their bookmarks from Delicious bookmarking service and convert their free-word tags to Common tags.

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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 as a controlled vocabulary for semantic tags.

Tagging emerged as an extremely popular way to integrate and organize data, due to its simplicity and flexibility. However, free-word tags do not have defined meanings, so it isn’t always clear what a particular tag represents. Does the tag “jaguar” represent the animal, the car company, or the operating system?

On the other hand, common, “semantic” tags are unique, well-defined concepts that allow people to state what a web page is exactly about. Semantic tags come at a price, though. They reintroduce structure, the absence of which was the main reason why tagging has become so popular.

The question is: Is it possible to make semantic tags as flexible as classic ones? Can humans accept and love the format intended for machines? Today’s release is Faviki’s attempt to answer this challenge.

Features in this release include:

Enhanced tagging interface

Universal Wikipedia tags are often too long and too hard to enter and the exact name of a tag has to be known beforehand. Furthermore, tags are personal items – a private association to some concept. They are often based on emotions, for instance: the nickname “Pippo” instead of the full name of the soccer player “Filippo Inzaghi”.

The new release makes it possible to use custom names for tags. Tags are added in free form, resembling classic tagging. If Faviki doesn’t understand a tag provided by a user, it will ask her to disambiguate it. It will then remember her choice and, next time, it will know what she means.

Faviki “learns” about user’s name of the tag

Faviki “learns” about user’s name of the tag

This is possible by connecting the idea of tagging with the idea of searching. Tags are used as keywords for a Google search that is restricted to Wikipedia’s domain. After all, tags and keywords are subjective associations to unique concepts and Google search is a great way to find URLs that represent these concepts. This way, users can use keywords as custom tags for Wikipedia URLs.

In addition, custom names for tags can also be modified explicitly on the Tag page.

Defining new tags

Wikipedia is the world’s largest encyclopedia, but it still covers only a small portion of the real world. There is a large number of concepts that are either too specialized or do not possess sufficient “notability” to be included in a common encyclopedia.

We already take for granted that every company or organization has a URL and that most people we know have some kind of web page, a blog, a social network profile or a company page that represents them online.

Faviki exploited this fact in one of its new features – defining new tags. New tags are added the same way as Wikipedia tags. The difference is that, this time, Google search is not restricted to Wikipedia’s domain, but only a few of the top results are allowed to be selected. Google returns web pages from the whole Web and users collaboratively create new tags and decide which URLs are the best candidates for new concepts.

Users collaboratively decide the best URLs for a concept

Users collaboratively decide the best URLs for a concept

Save/Edit API

The Faviki Save/Edit API is a simple API that provides a way to save and edit bookmarks from other applications.

OpenID support

Faviki finally supports OpenID. It uses RPX, a service which integrates various OpenID implementations from Google, Yahoo, AOL, Microsoft, along with plain OpenID.

Other features/improvements

  • Smarter autocomplete list
    The autocomplete list is an alternative way of finding and adding tags. It is now powered by DBpedia lookup – a powerful search API for Wikipedia concepts.
  • Converting tags
    This feature allows users to convert any of their tags to another tag across all of their bookmarks.
  • Spam control
    Bookmarks of no value for users can easily be marked as spam. Bookmarks that were marked as spam by a certain number of users are hidden.
  • Export/backup bookmarks
    Bookmarks can be exported along with semantic tags in the standard HTML bookmarks format.
  • Tag description tooltip
    A short abstract with an image, if there is any, shown when a mouse is held over a tag name, helps users choose the right tag. The data is fetched from DBpedia in real time.

Thanks to all of our users who have given us the feedback regarding the new features on Faviki. Stay tuned, further information will be released on the blog soon!

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Common Tag LogoAs strong believers in the semantic tagging (we wrote about it here and here), 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, together with AdaptiveBlue, DERI (NUI Galway), Freebase, Yahoo!, Zemanta, and Zigtag. This is the first time that this number of web companies have stepped together from day one to introduce a tagging standard.

People use tags to organize, share and discover content on the Web. However, in the absence of a common tagging format, the benefits of tagging have been limited. Individual things like New York City are often represented by multiple tags (like “nyc”, “new_york_city”, and “newyork”), making it difficult to organize related content; and it is not always clear what a particular tag represents – does the tag “orange” represent the fruit or the color?

The Common Tag format was developed to address the current shortcomings of tagging and help everyone, including end users, publishers, and developers get more out of Web content. It is an outcome of an effort to develop the easiest way to let publishers get more out of their content by semantically marking it up.

Common Tag format is based on RDFa, a standard mechanism for placing structured content within HTML documents. The format uses the URIs of concepts defined on the Web as a way of anchoring the meaning of Tag objects. Common concepts can be found, among others, in two big databases of structured content (or controlled vocabularies, as librarians call it) – Freebase and DBpedia.

Common Tag is based on a small vocabulary defining:

  • A class Tag, which holds the metadata provided by a Common Tag for a specific Resource.
  • Two properties:
    • tagged (connects a document to the Tag)
    • means (connects the Tag to the concept’s URI)

There are also few subclasses and optional properties, you can have a look at the whole specification. Also, developers may feel free to make use of RDFa’s flexibility to extend the expressiveness of the Common Tag format.

An example of two tags indicating that the document is about Twitter (DBpedia URI) and Web 2.0 (Freebase URI):

<body xmlns:ctag="http://commontag.org/ns#" rel="ctag:tagged">
    <span typeof="ctag:Tag"
              rel="ctag:means" resource="http://dbpedia/resource/Twitter" />

    <span typeof="ctag:Tag"
              rel="ctag:means" resource="http://rdf.freebase.com/ns/en/web_2_0" />
</body>

Faviki has implemented the Common Tag format (check out the extracted RDFa from Faviki Semantic Web topic page), and we hope that our users will benefit from it, as more publishers, developers and end users join in supporting the Common Tag format.

http://dbpedia/resource/Twitter
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Good news everybody! Faviki got into second round of Mashable Open Web Awards. Thanks everyone who nominated it! If you want to help us by voting, you can do it here.

Mashable has announced their 2nd Annual Open Web Awards. It is the international online voting competition that covers major innovations in web technology.

Nominations of sites/companies are made by community in 26 different categories. The category we’re competing in is social bookmarking.

You can vote for Faviki here by entering your e-mail address, and confirming it in the mail you’ll receive after voting.

You can also vote for our partner Zemanta here (blog plugins category).

Note that you may nominate a site/company in as many categories as you see fit. However, there is only one nomination per category per e-mail address.

Big thanks for your support! 🙂

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We got covered on Mashable

September 29, 2008

Faviki has been covered on Mashable in the Startup Review category. The post is titled “Faviki Brings Wikipedia and User Notes to Social Bookmarking”. Here is what Paul Glazowski had to say about Faviki:

If you’re willing to try something different, or have never fallen under the Delicious spell, Faviki is quite good. Simple and powerful are two elements it exhibits, and the smart design can grow on the user rather quickly. Altogether, Faviki is impressive. For a social bookmarking service, that’s certainly saying a lot.

Read the full post here. Thank you for the kind words, Mashable!

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