Lernen. Wissen. Daten. Analysen. (LWDA) 2024

CfP for Datenbanksysteme

The autumn meeting of the Fachgruppe Datenbanksysteme (GI Special Interest Group on Databases) will take place at the LWDA "Learning, Knowledge, Data, Analysis" Workshop from 23-25 September 2024 at the University of Würzburg and welcomes submissions of innovative research papers from both industry and academia. The German AI conference will take place in the same week also at the University of Würzburg.

Submissions to the LWDA Workshop will be peer-reviewed by at least two independent reviewers. Successfully accepted papers will be published as CEUR Workshop Proceedings ( and indexed by DBLP. All authors of accepted papers will be invited to the workshop to present their work.

Topics of Interest

Topics of interest for submissions to the LWDA FDGB track cover but are not limited to the following areas:

  • Green-IT and sustainable systems

  • Database system technology and new trends

  • Data engineering and transformation

  • Data integration, linkage and interoperability

  • Digitization and digital transformation

  • Data cleaning, integrity assurance and quality assessment

  • Data preparation and translation

  • Data provenance, explainability and reasoning

  • Schema evolution and optimization

  • Query optimization

  • Large-scale data management and Big Data Systems

  • Data processing on modern hardware

  • Data-intensive applications

  • Data visualization and art

  • Data ethics and FAIR data management

  • Semantic data and knowledge bases

  • Data analytics, intelligent systems and machine learning

  • Data mining and data profiling

  • Metadata management and recording

  • Data streaming and dataflow engines

  • Batch- and ETL-processing systems

  • Parallel, distributed and cloud-based data processing

  • Data analysis with human interaction and crowdsourcing

  • Reactive and service-oriented systems

  • Design and implementation of data-intensive architectures

  • Business process management

  • Data versioning and historical data management

  • User experience management for and in information systems

  • Domain-specific data management and processing solutions (eCommerce, IoT, industry 4.0, B2B solutions, …)

  • Domain-specific application sciences (geosciences, biomedicine, digital health, physics, …)

Submissions in the different topics may have different types, such as research papers, experimental evaluations, surveys, user studies, work in progress, technological trend studies, projects reports (on domain-specific applied science), negative research reports (including a careful analysis), project proposals, open-source software presentations, science tutorials, visionary ideas, and position papers.

Regardless of type of submission, publications are expected to make novel scientific contributions, present innovative ideas and/or deliver scientific insights for their research area. Reports on yet incomplete and failed projects are also possible, if their drawn (preliminary) conclusions and claims are scientifically solid and interesting for the community.

We highly encourage the publication of excellent research results of Bachelor-, Master- and early PhD-level student projects, such as semester projects, science competitions and thesis summaries.

Models of Submissions

Submissions made to the LWDA FGDB track may choose one of the following models:

  • Full papers (up to 12 pages + references) for normal research contributions that require longer explanations and discussions; usually feature some form of evaluation and/or broad consideration of related work

  • Short papers (up to 6 pages + references) for minor contributions, rather engineering-oriented projects, incomplete projects, less mature research ideas, positional papers, interesting project summaries, software pitches and/or negative observations.

  • Abstracts (up to 2 pages) referring to successful research recently published in a full paper at a major conference (e.g. SIGMOD, VLDB, or ICDE after 2022).

All types of papers can potentially be submitted in any submission model, but more depth and scientific value is expected from longer models. Note that the purpose of abstracts is to give successful PhD students and Postdocs additional visibility within the German database community. The abstracts will be selected for presentation without additional review.

Important Dates

The submission deadline has been extended to July 14, 2024!

  • Submission deadline: July 01, 2024 extended to July 14, 2024
  • Notification of acceptance: August 07, 2024
  • Camera-ready copy: August 20, 2024
  • Workshop FG-DB@LWDA: September 23 – 25, 2024 (Universität Würzburg)

Submissions Guidelines

Submissions should be made in English. All papers have to be formatted according to the CEUR-WS formatting guidelines. You can also download an offline version with the style files from It also contains DOCX template files. Papers are to be submitted as PDF files to EasyChair. Please select the track "FGDB".

All workshop participants have to register for the LWDA 2024 conference. We would like to make the workshop a lively discussion forum and we will therefore ask authors and reviewers to outline the main questions to be discussed before the actual workshop.

Intended Audience

The target group includes researchers and practitioners who are interested in developing, applying and analyzing information retrieval systems as well as application scenarios. The workshop is also a great and affordable platform for young researchers to present their work to a larger group of researchers and get valuable feedback. Doctorate and Master's students are especially encouraged to participate and discuss their ideas with world-renowned experts. Next to research papers, we invite you to submit in-practice papers that focus on presenting ongoing projects and applied research.

Workshop Organization

  • Fabian Panse, Hasso-Plattner-Institut Potsdam, Germany (

  • Johannes Schildgen, OTH Regensburg, Germany (

Program Committee

Tanja Auge (Universität Regensburg)   
Victor Christen (Universität Leipzig)
Lisa Ehrlinger (Hasso-Plattner-Institut)
Hazar Harmouch (Universiteit van Amsterdam)
Florian Heinz (OTH Regensburg)   
Johannes Kastner (Universität Augsburg)
Ralph Peeters (Universität Mannheim)
Tammo Rukat (University of Oxford)
Marina Troppmann-Frick (HAW Hamburg)
Annett Ungethüm (Universität Hamburg)
Marco Vogt (Universität Basel)
Steffen Zeuch (TU Berlin)