TY  - CONF
ID  - www2009215
UR  - http://www2009.eprints.org/215/
A1  - Baeza-Yates,  Ricardo
Y1  - 2009/04//
N2  - 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. We will show live demos to find relations in the Wikipedia or to improve image search as well as our current research in the topic. Our final goal is to produce a virtuous data feedback circuit to leverage the Web itself.
TI  - Mining the Web 2.0 for Better Search
AV  - public
M2  - Madrid, Spain
T2  - 18th International World Wide Web Conference
ER  -