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Call for Papers FGDB

The autumn meeting of the Fachgruppe Datenbanksysteme (GI Special Interest Group on Databases) will take place at the LWDA "Learning, Knowledge, Data, Analysis" Workshop on October 9-11, 2023 at the Philipps-University of Marburg and welcomes submissions of innovative research papers from both industry and academia. 

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 (http://ceur-ws.org/) and indexed by DBLP. All authors of accepted papers will be invited to the workshop to present their work, as the workshop can be an in-person event again!

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, …)

Types of Submissions

Submissions in the different topics may have different types. Below, we list types of scientific publications that are of interested to the LWDA FGDB community:

  • 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
  • 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 10 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 4 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 page) referring to successful research recently published in a full paper at a major conference (e.g. SIGMOD, VLDB, or ICDE after 2021)
  • 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

Submission deadline: July 31, 2023
Notification of acceptance: August 30, 2023
Camera-ready copy: September 14, 2023
Workshop: October 9 – 11, 2023

Submissions Guidelines

Submissions should be made in English. All papers have to be formatted according to the Springer LNCS guidelines and follow the CEUR-WS formatting guidelines. Papers are to be submitted as PDF files to EasyChair. Please select the track ‘LWDA 2023,, FG-DB’. Please also indicate your submission type at the end of your paper title, e.g. [Research Paper], [Experimental evaluation], [Survey], [Abstract], etc.

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

Thorsten Papenbrock, Philipps Universität Marburg, Germany (thorsten.papenbrock@uni-marburg.de)
Tanja Auge, Universität Regensburg, Germany (tanja.auge@uni-regensburg.de)

Programm committee

Bernhard Seeger (Universität Marburg)
Hazar Harmouch (Hasso-Plattner-Institut)
Uta Störl (Fernuniversität Hagen)
Stefan Schulte (TUHH Institut für Data Engineering)
Fabian Panse (Hasso-Plattner-Institut)
Benjamin Hättasch (TU Darmstadt)
Annett Ungethüm (TU Dresden)
Marina Tropmann-Frick (HAW Hamburg)
Hannes Grunert (Universität Rostock)