StarAI or StarDB?

A tutorial on Statistical Relational AI at the BTW 2019

18. Fachtagung für "Datenbanksysteme für Business, Technologie und Web", March, 4-8 2019, University Rostock

Goals

This tutorial aims at connecting databases and StarAI, demonstrating how database systems can benefit from methods developed within StarAI, e.g., for implementing efficient systems combining databases and StarAI.

Thus, the goal of this tutorial is two-fold:

1. Present an overview of methods within StarAI.
2. Provide a forum to members of both communities for exchanging ideas.

Contents

1. Introduction
2. Probabilistic relational modeling
   • Semantics 
   • Inference problems and applications 
   • Algorithms and systems 
   • Scalability
3. Scalability by lifting
   • Exact lifted inference
   • Approximate lifted inference
4. Summary

Download Presentations

1. Introduction
2. Probabilistic relational modeling
3. Scalability by lifting
   • Exact lifted inference
   • Approximate lifted inference
4. Summary