Abstract :
There are several semantic sources that can be found in the Web that are either explicit, e.g. Wikipedia, or implicit, e.g. derived from Web usage data. Most of them are related to user generated content (UGC) or what is called today the Web 2.0. In this talk we show several applications of mining the wisdom of crowds behind UGC to improve search. These results not only impact the search performance but also the user interface, suggesting new ways of interaction. We will show live demos that find relations in the Wikipedia or improve image search, already available at sandbox.yahoo.com, the demo site of Yahoo! Research. Our final goal is to produce a virtuous data feedback circuit to leverage the Web itself.
