Machine Reading the Web

Estevam R. Hruschka Jr, Federal University of Sao Carlos (UFSCar), Brazil

In this tutorial the idea of automatically reading the Web using Machine Reading techniques will be approached. Thus, an initial and brief overview on supervised, unsupervised and semi-supervised Machine Learning methods and algorithms will be given. In the sequel, three of the most successful Machine Reading approaches intended to Read the Web (namely Know it All, Yago and NELL systems) will be presented and discussed. The principles, the subtleties and current results of each approach will be addressed, the on-line resources will be explored and the future directions in each system will be pointed out.