Title: "Large Scale Reasoning Over Semantic Data"
Presenters: Jeff Z. Pan, Guilin Qi, Raghava Mutharaju and Ilias Tachmazidis
The tutorial aims to provide an overview of the approaches used for large scale reasoning over semantic data, the systems developed as well as the lessons learned while developing them. We will discuss some applications which require scalable reasoning solutions. Questions such as what makes distributed/parallel reasoning hard would also be covered during the tutorial. Directions for future research work would be discussed.