March 13, 2010
David Kuhta wrote a new blog post titled Semantic Web In Action – Faviki. He explains in great detail what Faviki does, how Faviki works, how it can help users and finally how it is used. Here are some arguments on why David recommends Faviki:
- Simplicity – Tagging a bookmark in Faviki becomes especially simple due to to the semantic tag recommendation and search systems and concise user interface.
- Social Media – Integration with Twitter gives you the an easy option to share bookmarks on Twitter and let your followers know where you’re leaving Web placeholders.
- Eliminate Ambiguity – Semantic tagging means the tag you you’ve placed on a bookmark is backed by a clear and comprehensive concept in Wikipedia.
- Eliminate Redundancy – The ability to import bookmarks from Delicious means you don’t have to switch tools or bookmark twice or change tools or bookmark again.
- Power Search – Searching for a keyword on the Faviki homepage essentially amounts to a search of all tagged Web resources on a given Wikipedia entry, as deemed by the collective Faviki community
Highly recommend read, especially for newcomers. Click here to read the post.
June 11, 2009
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:
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.
December 9, 2008
Zemanta API analyses unstructured documents/texts and returns five types of content objects:
- machine readable static tags
- general categories and custom taxonomies
- named entities with links to objects from major online knowledge databases: Wikipedia, Amazon, IMDB, RottenTomatoes, CrunchBase,… and to selected pool of online media and blogs
- pictures from Flickr, CC sources and professional agencies
- articles from selected media sources and blogs
This is the first API that returns disambiguated entities linked to DBPedia, Freebase, MusicBrainz, and Semantic Crunchbase. The data can be returned in the standard format of Semantic web – RDF.
There is the extensive developers documentation available, including architecture overview, code samples for most popular programming languages, frontside integration SDK, developers forum and application gallery.
API is free to use for up to 10.000 API calls per month, and for a subscription fee above that.
Zemanta API adds great value to Faviki, by analyzing the text from web pages that are saved by users and suggesting related DBpedia concepts. This makes Faviki users’ lives much easier, because now they can add semantic tags with a just one click.
Zemanta API is a powerful technology that has lots of potential. We can’t recommend it highly enough. Keep up the good work Zemanta🙂