Archive

Our extended abstract "ASET: Ad-hoc Structured Exploration of Text Collections” was accepted to ADIB 2021

2021/08/13

We propse a new way to explore textual contents in a structured way

Our short paper "GalOP – Towards a GPU-accelerated OLTP DBMS” was accepted to DaMoN 2021

2021/05/05

In this paper, we propose a GPU-accelerated transaction processing system.

Our paper "ReStore – Neural Data Completion for Relational Databases” was accepted to SIGMOD 2021

2021/03/22

In this paper, we propose a automated approach for relational data completion.

Our paper "Towards Learned Metadata Extraction for Data Lakes” was accepted to BTW 2021

2021/01/13

In this paper, we analyze how will learned approaches can generalize to new unseen data in real-world data lakes.

Our paper "DFI: The Data Flow Interface for High-Speed Networks” was accepted to SIGMOD 2021

2021/01/13

In this paper, we propose the Data Flow Interface (DFI) – a new way for data processing systems to exploit high-speed networks.

Data Management lab is part of the new National High Performance Computing Network

2020/11/25

Decision of the Joint Science Conference

Cooperative AI for the future of work – KompAKI

2020/11/12

TU Darmstadt coordinates new competence center for labor research

Scalable data management for future hardware

2020/11/12

DFG priority program enters second phase | TU Darmstadt with project successful

Our paper “AnyDB: An Architecture-less DBMS for Any Workload” was accepted to CIDR 2021

2020/11/05

In this paper, we present a radical vision to architect databases in future.

Our paper “It’s AI Match: A Two-Step Approach for Schema Matching Using Embeddings” was accepted to workshop AIDB @ VLDB 2020

2020/08/11

In this paper, we analyze how neural embeddings can be used in data integration.