Archive

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.

Our paper “Sharing Opportunities for OLTP Workloads in Different Isolation Levels” was accepted for the PVLDB Vol 13, 2020

2020/05/19

In this paper, we present an approach for merging read statements within interactively submitted multi-statement transactions consisting of reads and writes.

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

2020/05/07

In recent years the field of research on natural language interfaces for databases (NLIDBs) has progressed considerably…