VisualWikipedia is a visual, intuitive, and interactive web interface to encyclopedic knowledge/information. It is designed to provide a fun place to learn stuff in an efficient manner. Please watch the following video to get a good sense of how to use it.
Wouldn't it be perfect, if we could use the wikipedia "dump" data JUST as they arrive after the download? Without creating a much larger (space-wise) MySQL database? And also be able to search for parts of title names and get back lists of titles with "similarity percentages"?
What do Wikipedia's readers care about? Is Britney Spears more popular than Brittany? Is Asia Carrera more popular than Asia? How many people looked at the article on Santa Claus in December? How many looked at the article on Ron Paul? What can you find?
Faviki is a social bookmarking tool which allows users to use common, predefined tags to annotate web pages. Using the Wikipedia collection of articles as a source of a universal controlled vocabulary, it provides so-called ‘semantic tags’. In this way, web pages saved by users are not just described by random words but connected to uniquely defined concepts.
Tagpedia is a semantic reference useful to create sense-based descriptions of resources over the Web. In this way it wants to provide support to a better organization and access to semantically described Web contents in order to improve the management and the search for useful information.
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