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.
How we think of architecture shapes what we do as architects, and what we do, shapes how we think of architecture. We will explore our conception of architectu…
In his keynote address to a packed house at OSCON 2002, Lawrence Lessig challenges the open source audience to get more involved in the political process. Read the complete transcript of Lawrence's...
P. Brusilovsky. Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics at IUI'2017, page 49--50. New York, NY, USA, ACM, (2017)
P. Brusilovsky. Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics at IUI'2017, page 49--50. New York, NY, USA, ACM, (2017)
H. Sack. Proceedings of the 24th International Conference on World Wide Web Companion, page 719--720. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2015)