Using the wikipedia index of entries as a social controlled vocabulary. I haven’t even looked at this tool, don’t know anything more about it than this announcement, but I find the idea of using wikipedia as a controlled vocabulary awfully fascinating, more interesting than the particular proposed application anyhow.
“Faviki is a social bookmarking tool that allows users to annotate the contents of web pages by Wikipedia concepts. Using Wikipedia as a source of a universal controlled vocabulary, it provides so-called ‘semantic tags’ which are standardized and computer-interpretable. In this way, Faviki is able to solve some common problems related to classic ‘folksonomy’ tags, in particular: polysemy, synonymy, different lexical forms, and lack of a commonly agreed meaning of terms. In a wider perspective, Faviki aims to speed up the transition from Web 2.0 to the Semantic Web.”
Although now that I think about it, the particular application might be pretty interesting too. Take a socially-constructed controlled topic vocabulary (wikipedia), and then classify web pages to it using social labor too (social bookmarking). Hmm, awfully interesting, if it catches on.
Now, how do we go about ‘cross-walking’ LCSH to wikipedia? Of course, it’s a moving target.