Our paper “Towards Robust and Transparent Natural Language Interfaces for Databases“ was accepted for the ”Workshop on Human-In-the-Loop Data Analytics“ @HILDA/SIGMOD 2020
In recent years the field of research on natural language interfaces for databases (NLIDBs) has progressed considerably…
Our paper “The Tale of 1000 Cores: An Evaluation of Concurrency Control on Real(ly) Large Multi-Socket Hardware“ was accepted for the workshop ”Data Management on New Hardware" @SIGMOD 2020
In this paper, we set out the goal to revisit the results of “Starring into the Abyss […] of Concurrency Control with  Cores” and analyse in-memory DBMSs.
The accepted papers in both cycles are…
Our Paper “Summarization Beyond News: The Automatically Acquired Fandom Corpora” was accepted to LREC 2020
We propose a way to automatically construct non-news summarization corpora and create three corpora using that approach
Our lab members Nadja Geisler and Benjamin Hättasch talked about about the Deep Learning Hype and its consequences and impacts at the 36C3 in Leipzig
IDEBench: A new Benchmark for Interactive Data Exploration / DB4ML: An In-Memory Database Kernel with Machine Learning Support / DBPal: A Fully Pluggable NL2SQL Training Pipeline
Get your seat now: http://www.fgdb-symposium.de/ for more info!
In this paper, we propose an alternative approach to learn DBMS components.
Our paper “High-Performance In-Network Data Processing” was accepted for the Tenth International Workshop at ADMS 2019/VLDB 2019
As a first contribution of this paper, we propose a new switch architecture that can be employed as an in-network co-processor for analytical SQL workloads.
Best Student Paper Award for our paper “XAI – A Middleware for Scalable AI” which was accepted to Data 2019
Abdallah Salama received the Best Student Paper Award for his paper "XAI – A Middleware for Scalable AI" which runs on top of existing deep learning frameworks such as TensorFlow or MXNet and automates the hyper-parameter search for distributed deep