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

CfP for Information Retrieval

The workshop Information Retrieval 2024 of the Special Interest Group on Information Retrieval within the German Gesellschaft für Informatik (GI) provides a forum for scientific discussion and the exchange of ideas. It takes place in the context of the LWDA „Learning, Knowledge, Data, Analysis“ conference from 23-25 September 2024 at the University of Würzburg, Germany. This workshop continues a successful series of workshops of the GI Special Interest Group on Information Retrieval (http://fg-retrieval.gi.de/). Publications are available in Open Access (https://dblp.org/db/conf/lwa/index.html). 

The German AI conference will take place in the same week also at the University of Würzburg.

Topics of interest

Submissions should address current issues in any area of Information Retrieval. We invite submissions, both from industry and academia, describing:

  • Original research contributions
  • Ongoing and recently finished research at the graduate level (M.Sc./Ph.D.)
  • Running research projects or project proposals
  • Resources (e.g., novel testbeds or software tools)
  • Negative results (including a careful failure analysis)
  • Visions, ideas, and positions
  • Resubmission of papers recently published at other renowned conferences no earlier than 2022

Models of Submissions

Submissions made to the LWDA FGIR 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) for short communications and for resubmissions of successful research recently published in a full paper at a major conference or in a journal

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-IR@LWDA: September 23 – 25, 2024 (Universität Würzburg)

Submissions Guidelines

Submissions are welcome in English and German. 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 http://ceur-ws.org/Vol-XXX/CEURART.zip. It also contains DOCX template files. Papers are to be submitted as PDF files to EasyChair. Please select the track "FGIR".

All submissions will be reviewed by at least two independent reviewers. All authors of accepted submissions will be invited to the workshop to present their work. Accepted research and in-practice papers (full papers and short papers) will also be included in the proceedings that are published at http://ceur-ws.org/ and indexed within DBLP.

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 IR workshop is in particular 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. Apart from research papers, we invite you to submit in-practice papers that focus on presenting ongoing projects and applied research.

Workshop organization

  • Philipp Schaer, TH Köln, Germany (philipp.schaer@th-koeln.de)
  • Thomas Mandl, Universität Hildesheim, Germany (mandl@uni-hildesheim.de)