Welcome to IJCAI-16 Tutorial on How Computers Read the Web

The web is inundated with information in many different formats including semi-structured and unstructured data. Machine Reading is a research area aiming to build systems that can read natural-language-based information, extracting knowledge and storing it into (structured) knowledge bases. In this tutorial the idea of automatically reading the web using machine reading techniques will be explored. Four of the most successful machine reading approaches intended to read the web (namely DBPedia, Yago, OIE (Open Information Extraction) and NELL) will be presented and discussed. Principles, subtleties, as well as current results of each approach will be addressed. On-line resources (from each approach) will be explored and the future directions in each project will be pointed out. In spite of mainly focusing on the four aforementioned projects, some other independent contributions on machine reading the web will be mentioned and pointed out as related works, as well as two other industrial projects, namely Google Knowledge Vault and IBM Watson.

The tutorial is intended to prepare the attendees to start new research works in this area, as well as to get to know about the state-of-the-art, the main challenges, and some of the most promising future directions, as well as available resources.