Semantic Tagging with Faviki

Faviki is a new social bookmarking tool that offers semantic tagging capabilities. This means is that Faviki will suggest tags based upon structured information extracted from the Wikipedia database.

clipped from www.rotorblog.com Faviki Offers Social Bookmarking with Semantic Tagging clipped from www.faviki.com Welcome to Faviki! Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge. Thanks to DBpedia, which extracts structured information from Wikipedia and represents it in a flexible data model, these tags are reference to objects which are categorized automatically, keeping your and your friend's bookmarks and interests well organized. clipped from faviki.wordpress.com We need a tag evolution Wikipedia & DBpedia For example, the web page about Semantic Web on Wikipedia looks like this, while on DBpedia it looks like this (there is also an alternative that is easier to read by humans). Characteristics of new tags Unique name Disambiguation Tag properties and its connections to other tags Classification of tags For example, if we look at DBpedia page for Keith Richards

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Yahoo Moves To Semantic Search

Yahoo is starting to use key elements of next generation net technology known as the "semantic web".

clipped from news.bbc.co.uk Yahoo makes semantic search shift Yahoo has announced its adoption of some of the key standards of the "semantic web". clipped from www.newkerala.com Currently, most search engines, especially Google, use the interconnections between sites to identify relevance for a particular topic. The semantic web promises to change this because it helps to capture the meaning of data on a page and so give machines classifying or searching the web the capability to work out its relevance to a particular topic. clipped from www.ysearchblog.com For example, by marking up its profile pages with microformats, LinkedIn can allow Yahoo! Search and others to understand the semantic content and the relationships of the many components of its site. With a richer understanding of LinkedIn's structured data included in our index, we will be able to present users with more compelling and useful search results for their site. clipped from www.ysearchblog.com By sharing its database of restaurant reviews, location information and photos with Yahoo!, Yelp can develop a far more visually compelling and useful search result than was previously presented to users. Before After

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Twine -- Organize, Share and Discover Information

Twine, a new social bookmarking service which builds a semantic web from all the items, people, collections, and tags that are contributed to it.

clipped from www.twine.com Introducing Twine. The Smartest Way To Organize, Share and Discover Information About Your Interests. Twine is a new service that helps you organize, share and discover information about your interests, with networks of like-minded people. You can use Twine alone, with friends, groups and communities, or even in your company. clipped from www.twine.com clipped from www.twine.com Auto-tagging Tags make finding and organizing information in Twine easier. Every item that is added to Twine is automatically tagged by identifying the people, places, organizations and general concepts that are related to that item. clipped from www.twine.com clipped from www.twine.com By connecting with other members of Twine you can share information with each other. Connecting with others lets Twine know what shared interests each user has so twine can offer better recommendations. clipped from www.twine.com clipped from www.twine.com Search One of the benefits of the semantic web is that items in twine can be searched, filtered and sorted in order to help you find the exact item you are looking for.