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Faviki is a social bookmarking tool using Wikipedia concepts as tags. ... Free-word tags do not have defined meanings, so it isn't always clear what a particular tag represents. ...
http://www.faviki.com/
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tagging
wikipedia
bookmarking
semantic
semanticweb
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augmentedreality
mobile
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 del.icio.us model « Social Networking Strategies For Libraries
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Faveous gather your favorites from Twitter, Google Reader, Youtube and Facebook in one single place.
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twitter
aggregator
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facebook
content
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wikipedia
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wiki
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linkeddata
semanticweb
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This is Benjamin Nowack's personal Website, Blog, and RDF Playground. ... Dynamic Semantic Publishing for any Blog (Part 2: Linked ReadWriteWeb) A DSP proof of ...
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Sorting Results
- This slider determines how the matched sites are sorted.
- If you want to see the most popular sites that are somewhat related to your search, slide this more towards "popularity."
- If you want to see the sites that best matched your search, regardless of popularity, slide this towards "similarity."
Must Include Tags
- Matched sites will not be shown unless they have all of the tags on this list.
- This feature is useful for when you require a site to have been tagged as something.
- To add a tag to this list, click "add tag" or click on any tag in a result.
Must Not Include Tags
- Matched sites that have any tag on this list will not be shown.
- This feature is useful for filtering out results that have tags you are absolutely not interested in.
- To add a tag to this list, click "add tag" or click on any tag in a result.
Types of Results
- This option lets you specify the types of sites to show.
- If you want to only see domains (www.
.com), select "domains only." - If you want to only see articles (www.
.com/something/here), select "articles only." - If you don't care, or care so much about both, select "Both".
About The Results
an example search result
How moreofit Searches
Each website has a unique tag signature -- a set of words
that users have described the website as. Moreofit searches
for websites that have similar tag signatures and displays the results.
1: Similarity
A site's "similarity" is determined by how well its tag signature matches the tag
signature that is being searched for. A 100% match means that it has the exact same
tags in the exact same order, while a 0% match means it has no tags in common.
2: Popularity
The popularity of a website is, well, pretty much self explanatory.
3: Tag Signature
The tag signatures show how a site is described. The deeper the color of the tag,
the more frequently the website is tagged as this. Tags underlined blue denote a tag
that is in common with the search's tag signature.
