Call for Papers

Call for Papers for the Main Program

For more than three decades, the BTW conference has served to network scientists from the data management community in Germany and its neighboring countries, as well as practitioners from industry. Through the mutual exchange on classic core topics of database and information systems technology, but also on current topics such as data science, data protection, the connection with machine learning and highly scalable data processing, database research is constantly being advanced.

Tracks and Topics

At the BTW conference, both classic and emerging questions from the database area and their possible solutions will be discussed. To ease orientation, contributions will be organized in four tracks. Since many papers will address aspects from several tracks, authors will be able to assign their paper to more than one track. Papers by researchers and practitioners covering basic research, applied research or applications are equally welcome in all tracks.

Database Technologies and Systems

Topics of interest include but are not limited to:

  • Query processing and index structures

  • Implementation and architecture of database systems

  • Parallel and distributed data processing in database systems

  • Data processing on modern hardware

  • Data management in the cloud

  • Performance analysis and benchmarks

  • Database systems for data streams, web and graph data

  • Big data and NoSQL databases

  • Relationship between database systems and programming languages

  • Data protection and data safety

Text, Semi-structured Data and IR

Topics of interest include but are not limited to:

  • User aspects of retrieval applications

  • System and foundational aspects

  • Retrieval models, query processing and ranking, efficiency and scalability

  • Machine learning, deep learning and neural models

  • Text mining and text analysis

  • Natural language processing

  • Applications such as web and social media search, professional and domain-specific search

  • Evaluation research of retrieval systems, users, and/or applications

Data Engineering, Data Science and Machine Learning

Topics of interest include but are not limited to:

  • Data cleaning and integration

  • Semantic data management, knowledge management

  • Machine learning for and with databases and data streams

  • Data exploration

  • Interactive data analysis and visualization

  • Data engineering workflows

  • Pipelines for very large data science applications

  • Scientific data management

  • Data provenance

  • Benchmarks for data engineering algorithms and workflows

Database Languages and Theory

All topics in the other tracks are in principle suitable for “Database Languages and Theory”, but the present track is interested in papers with a primarily principled approach.


BTW 2023 aims to be as attractive as possible for authors and conference participants. For this purpose, we will continue or extend the new measures introduced with BTW 2021:

The review process will include a feedback phase that allows authors to submit a revision letter. With this letter, they can address questions and criticisms from the reviewers and outline how they plan to revise their contribution to address reviewer comments.

The scientific program and the industrial program are again merged; practical contributions are highly welcome and can be assigned to any track. These contributions can be marked as “practical” when submitting; this categorization is taken into account in the assessment (see below).

Upon submission, the authors will be asked to choose one or more tracks that best fit their paper.

The organization team strongly encourages the authors of papers to ensure the repeatability and reproducibility of their experiments and analyses. It is therefore possible to subject accepted contributions to a reproducibility test. Successful contributions are distinguished accordingly in the program and in the proceedings.

Both long papers (original papers or review papers) and short papers (on current projects and ongoing research) can be submitted. Submissions should be written in English. English is also recommended as the lecture language during the conference.
The contributions must correspond to the layout specifications of the conference proceedings (
LNI style).
The page limit (not including references) is 20 pages for long papers and 10 pages for short papers.
Practical contributions are also qualified for both long and short papers.
Submissions exceeding the page limit will be rejected without review. The accepted papers will be published in the “Lecture Notes in Informatics” (LNI) of the GI.
Submissions will be reviewed according to the following criteria:

  • Short papers: thematic fit to the conference, degree of innovation, convincing presentation.

  • Long articles: as above, as well as a careful evaluation and/or proof.

  • Practical contributions: thematic fit to the conference, degree of innovation, convincing presentation, degree of use/impact.

Submissions via from July 2022 onwards.


Submission deadline for abstracts is September 18, 2022. Papers are due September 25, 2022.
extended until October 9, 2022, end-of-day CEST (both abstracts & papers).

November 11, 2022: Reviews become visible for authors

November 27, 2022: Authors submit response to reviewer questions

December 9, 2022: Authors are notified w.r.t. acceptance/rejection

December 13, 2022: Authors apply for a reproducibility badge (optional)

January 15, 2023: Authors submit camera-ready version

January 15, 2023: Authors submit reproducibility package (optional)