This link has been bookmarked by 26 people . It was first bookmarked on 26 May 2008, by Martin M.
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instead of having users haphazardly entering in tags to describe the links they save, Faviki will suggest tags to be used instead
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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.
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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
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Stefan MellesFor 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
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Mark RabnettUnlike 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.
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François ParmentierFaviki is a new social bookmarking tool that offers something that services like Ma.gnolia, del.icio.us, and Diigo do not - semantic tagging capabilities.
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Lasse SkjelmoseDelicious afløser med wikipeida-terminologi?
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Mathieu PlourdeBecause 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.
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Martin Lindneraiming at unified tags, but no import from other services
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