Georg Gottlob Special Event at ICDT 2018

A special event in honor of Georg Gottlob's influential and long-lasting research contributions in the fields of database systems and artificial intelligence will be held on the day before the EDBT/ICDT conferences in Vienna.

Georg Gottlob is a Professor of Computing Science at Oxford University, UK and an Adjunct Professor of Computer Science at the Vienna University of Technology, Austria (TU Wien). His current research interests are algorithms and complexity issues related to graphs and hypergraphs, database query languages, and with problem decomposition methods that can be used for recognizing large classes of tractable instances of hard problems.

Time and Venue

The event will be held in the afternoon of the 25th of March 2017 at the Electronics Institute of TU Wien, where the EDBT/ICDT conferences will take place from the day afterwards.

Registration

This event is free of charge. If you plan to attend, please help us by registering, so that we can estimate the number of participants.

Program

Location: Lecture Hall EI 8

Opening Session: 14:00-15:00

Christoph Koch
Abstraction vs. Performance in Database Systems (PDF)
Sihem Amer-Yahia
Human-In-the-Loop Personalization (PDF, Keynote)

Coffee Break: 15:00-15:30

Second Session: 15:30-17:00

Shqiponja Ahmetaj and Andreas Pieris
On the Succinctness of Query Rewriting for Datalog+/- (PDF)
Francesco Scarcello
From Hypertree Width to Submodular Width and Data-dependent Structural Decompositions (PDF)
Pablo Barcelo
What are the Limits for Efficient Conjunctive Query Evaluation in the Presence of Constraints? (PDF, Keynote)

Coffee Break: 17:00-17:30

Final Session: 17:30-18:45

Thomas Schwentick
Algorithmic Metatheorems for Second-Order Logic (PDF)
Phokion Kolaitis
The Quest for Definitive Results: Some Examples in Georg Gottlob's Work (PDF)

Closing Remarks: 18:30-18:45

Organization

Workshop and Program: Michael Benedikt (University of Oxord), Reinhard Pichler (TU Wien)
Website and Registration: Michael Morak (TU Wien)

Foundational Challenges in Data and Knowledge Management