Group items tagged

better control over tagging

OpenID

Save API

defining new tags

several new features

mainly to facilitate the use of common tags

overcome Wikipedia’s limitations as a controlled vocabulary for semantic tags

common, “semantic” tags are unique, well-defined concepts

Is it possible to make semantic tags as flexible as classic ones? Can humans accept and love the format intended for machines?

Enhanced tagging interface

added in free form, resembling classic tagging

possible to use custom names for tags

If Faviki doesn’t understand a tag provided by a user, it will ask her to disambiguate it. It will then remember her choice

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

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

Defining new tags

added the same way as Wikipedia tags. The difference is that, this time, Google search is not restricted to Wikipedia’s domain

only a few of the top results are allowed to be selected

users collaboratively create new tags

Users collaboratively decide the best URLs for a concept

Save/Edit API

a simple API that provides a way to save and edit bookmarks from other applications.

OpenID support

uses RPX

Other features/improvements

Smarter autocomplete list

Converting tags

Spam control

Export/backup bookmarks

Tag description tooltip

Semantic tags will be a core building block of the next-generation web

leveraging the popular Wikipedia as a vast source of a universal controlled vocabulary

Wikipedia can serve as a great controlled vocabulary for tags

Every concept is unique, has a unique URI,

well-defined.

DBpedia did a very good job of extracting the structure or semi-structure

and expressing it in RDF

or a machine readable way.

Faviki helps users remove the ambiguity otherwise surrounding free text tags’ meaning.

You can use some concrete concepts as tags

yourself as the author as a tag

specific organizations or companies or people or specific ideas as tags

DBpedia’s linking between the various language versions of Wikipedia

users tag in 14 different languages

English as the universal reference

by opening the data, because that’s the idea of the semantic web, to make the data open and connect easily to various sources

last month, Faviki added the ability for users to use their own keywords or tags in a freeform way

and map them to semantic tags

connecting tagging with searching to accomplish this.

the new release lets users create new tags outside of Wikipedia, using Google returns from the whole world of web pages

users collaborate on which URLs are the best candidates for new concepts.

URL tags are not so clear as dbpedia

a bit more messy

a bit more dynamic,

but the idea was to make it semi-automatic. People make them and disambiguate them while adding tags

some kind of compromise.

Next steps for Faviki are around connecting with other services such as del.i.cious, Twitter, and Facebook, to make it easier for users to try it out.

Some longer-term plans would be to publish data from Faviki in linked data, to connect to the rest of inked data,

making that data queryable to developers via SPARQL.

Common Tag

as much a platform as an application

mappings between free tags’ association and some uniquely identified concepts will be very important

that kind of data will be interesting to developers.

databases of structured content

controlled vocabularies

Freebase and DBpedia

Common Tag is based on a small vocabulary

subclasses and optional properties