Semantic Tagging with Faviki - ReadWriteWeb - The Diigo Meta page

• 16 Dec 09
  

  Lucy Mathers

  tag socialbookmarking wikipedia und7_resourcemgt blog reference

• 03 Jul 09
  

  Dan Stucke

  semanticweb semantic faviki folksonomy socialbookmarking bookmarks delicious tags wikipedia tagging

• 08 Apr 09
  

  Nelba Quintana

  tagging bookmarking

• 10 Jan 09
  

  Danii kulka

  socialmedia bookmarking tagging wikipedia web3.0 readwriteweb faviki tools blog semanticweb internet

• 24 Jul 08
  

  Pavan Kanwar
  • instead of having users haphazardly entering in tags to describe the links they save, Faviki will suggest tags to be used instead
  • suggestions don't just come from a community of users and their tagging history, but from structured information extracted straight out of the Wikipedia database.
  • 22 more annotations...
  • • Faviki's backend uses DBpedia
    • This means that instead of just being words, the tags in this data model become references to objects which are categorized automatically
    • Under other tagging systems, the same item may have been tagged with cocacola, coca-cola, coca+cola, CocaCola, but in Faviki, it's simply "Coca-Cola."
    • can install a browser bookmarklet
    • Unfortunately, there is no way to import your bookmark collection from another service
    • probably because doing so would necessitate completely re-tagging every link
    • However, without this option, it will be hard to get users to completely switch over from whatever service they are using now.
    • Because Faviki uses structured tagging, there is more that can be learned about a particular tag, its properties, and its connections to other tags. The system will automatically know what tags belong together and how they relate to others.
    • purely semantic-based bookmarking service that would automatically know how to tag any content saved by discovering the semantic aspects already associated with that web page
    • I'd love to hear some comparison between this and ZigTag. They both seem to have pretty much the same concept.

    • At the recent Next Web conference in Amsterdam, Nova Spivack, the founder of Twine, predicted that over the next 10-15 years, tags will play an increasingly important role in the structure of the web, while keywords disappear.

      
      
      

      No, this is completely wrong.

    • omputers are programmed to mimic how human retrieve & process information, and key-words/phrases/paragraphs are vital
    • gives the ability for retrieving by concept similarity/proximity
    • pure symbolic semantic based search will fail to address that
    • Symbolic search is a true-false (boolean) scenario
    • either take a hit (where polysemy or synonymy are ignored) or no hit
    • Similarity/proximity search which relies on key-words/phrases/paragraphs can be very wide apart in terms of distance
    • eg - euclidean distance
    • is always another concept which is a neighbour of the target query that can be retrieved as a match (although low percentage because of the wide euclidean distance)
    • Vuk Milicic
      
      founder of Faviki

    • I agree that Faviki limits expressivness but that's the whole point. By making you choose between 2.3 million tags from Wikipedia, it actually makes you organize your bookmarks better and, more importantly, add real meaning to those bookmarks and relate them using clear, concrete semantics.

      
      
      

      I guarantee that this lack of expressivness actually pays off in the long run - it will be much easier to find bookmarks, yours or anyone else's.

    • Posted by: Vuk Milicic |
      May 27, 2008 2:05 PM
• 11 Jul 08
  

  Jeff Giddens

  web2.0 visualization social

• 20 Jun 08
  

  Ann Henderson

  tagging

  • There has been a lot of discussion around this topic lately. At the recent Next
    Web conference in Amsterdam, Nova Spivack, the founder of Twine, predicted that over the next 10-15
    years, tags will play an increasingly important role in the structure of the
    web, while keywords disappear
• 12 Jun 08
  

  Susan Miller-Cochran

  web3.0 technology crd704

• 02 Jun 08
  

  Stefan Melles

  For Tagging bookmarks Faviki uses DBpedia, a community-maintained database created by extracting structured info from Wikipedia and turning that into a database which you can query. Because Faviki uses structured tagging, there is more that can be learned

  bookmarks semantic social web20 wikipedia imported1s

• 30 May 08
  

  Mark Rabnett

  Unlike other services, Faviki's suggestions don't just come from a community of users and their tagging history, but from structured information extracted straight out of the Wikipedia database.

  faviki semanticweb social.bookmarking folksonomy tagging

• 

  François Parmentier

  Faviki is a new social bookmarking tool that offers something that services like Ma.gnolia, del.icio.us, and Diigo do not - semantic tagging capabilities.

  tag bookmarks semantics semanticweb dbpedia

• 29 May 08
  

  Lasse Skjelmose

  Delicious afløser med wikipeida-terminologi?

  semanticweb tagging wikipedia

• 28 May 08
  

  Trudy Brentnall

  web2.0 social_bookmarking

• 

  . zbikos .

  web

• 27 May 08
  

  Alexandre Cabanis

  semantic 3.0 faviki wikipedia tags bookmarks microformats

• 

  Mathieu Plourde

  Because Faviki uses structured tagging, there is more that can be learned about a particular tag, its properties, and its connections to other tags. The system will automatically know what tags belong together and how they relate to others.

  folksonomy socialbookmarking socialsoftware semanticweb Faviki tagging

• 

  Suzanne Cadwell

  tagging faviki

• 

  Martin Lindner

  aiming at unified tags, but no import from other services

  semanticweb semantic_cloud tagging tagging_semantic deli

• 

  Jens Oellrich

  tagging bookmark

• 

  David Harrison

  tagging phd semanticweb

• 26 May 08
  

  n black

  social bookmarking

• 

  Martin M

  tagging semantic

• 

  Henk Nouwens

  bookmarking faviki onderwerpsontsluiting social bookmarking

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