BIR 2024

Proceedings

https://ceur-ws.org/Vol-3989/

About BIR

The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR goes into its 14th iteration. In this workshop, held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024) in Glasgow, Scotland, we will tackle issues related to academic search, at the intersection between Information Retrieval and Bibliometrics. We strive to get the ‘retrievalists’ and ‘citationists’ active in both academia and industry together, who are developing search engines and recommender systems for scholarly search. An overview of the BIR workshop series can be found at https://sites.google.com/view/bir-ws/home.

You are invited to submit to the 14th international workshop on Bibliometric-enhanced Information Retrieval (BIR 2024), to be held as part of the 46th European Conference on Information Retrieval (ECIR 2024) in Glasgow, Scotland. 

The workshop is planned as an onsite event. We encourage all speakers to join us in Glasgow (UK).

This BIR workshop was supported by the European Union under the Horizon Europe grant OMINO – Overcoming Multilevel INformation Overload http://ominoproject.eu under grant number 101086321.

Important Dates

All dates are in Anywhere on Earth – AoE Time Zone

• Submissions: 22 January 2024 (extended 2 February 2024)

• Notifications: 25 February 2024

• Camera Ready Contributions: 19 March 2024

• Workshop: Sunday, 24 March 2024 

Tentative Schedule

All times are Greenwich Mean Time (GMT).

Accepted papers

Final versions are available: https://drive.google.com/drive/folders/1dmuqCu_zy3warDOZlFv_ZZ7glmz-ganx 

Research papers

• Christin Katharina Kreutz, Philipp Schaer and Ralf Schenkel: Evaluating Stability of Information Needs

• Rrubaa Panchendrarajan, Anjalee De Silva, Janaka Wijekoon, Rashini Liyanarachchi and Weranga Rajapaksha: AI Insights: Utilization of ChatGPT Intelligence for Research Paper Analysis

• Juan Pablo Bascur, Suzan Verberne, Nees Jan Van Eck and Ludo Waltman: Which topics are visualized by science maps? A topic-driven clustering effectiveness analysis

• Iana Atanassova and Marc Bertin: Breaking Boundaries in Citation Parsing: A Comparative Study of Generative LLMs and Traditional Out-of-the-box Citation Parsers

• Qinyue Liu, Amira Barhoumi and Cyril Labbé: Miscitations in scientific papers: dataset and detection

Demo paper

• Gautam Kishore Shahi and Oliver Hummel: A Machine Learning Based Approach for Identifying Domain Experts Search in Research Institutions

Demo video:  https://drive.google.com/file/d/1oJTSvvk_-sWHNx3yRzagjz8g7HBvqsvP/view 

Workshop Topics

During BIR 2024, we address, but are not limited to, the following current research topics regarding 4 aspects of the academic search and recommendation process:

1. User needs and behaviour regarding scientific information, such as:

• Finding relevant papers/authors for a literature review.

• Identifying expert reviewers for a given submission.

• Understanding information-seeking behaviour and HCI in academic search.

• Filtering high-quality research papers, e.g., in preprint servers.

• Measuring the degree of plagiarism in a paper.

• Flagging predatory conferences and journals, or other forms of scientific misbehaviour.

2. Mining the scientific literature, such as:

• Information extraction, text mining and parsing of scholarly literature.

• Natural language processing (e.g., citation contexts).

• Discourse modelling and argument mining.

3. Academic search/recommendation systems, such as:

• Modelling the multifaceted nature of scientific information.

• Building test collections for reproducible BIR.

• System support for literature search and recommendation.

• Computational methods for systematic reviewing.

4. Generative AI and Large Language Models with bibliometric-enhanced IR, such as:

• Retrieval-augmented LLMs for academic search and recommendation.

• LLM-enhanced retrieval and recommendation in scholarly settings.

• Challenges with generative LLMs for scholarly texts and references.

We especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome.

Submission Details

All submissions must be written in English following the CEURART 1-column paper style (6 pages (short paper), 12 pages (full paper)/, please see below) and should be submitted as PDF files to EasyChair. All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program.

• CEURART (incl. LaTeX and Word templates): <https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/>

• Submission via EasyChair: <https://easychair.org/conferences/?conf=bir2024> 

Page limits:

•   Full paper: 12 pages excluding references

•   Short paper: 6 pages excluding references

Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - this way the proceedings will be permanently available and citable (digital persistent identifiers and long-term preservation). 

Program Chairs

• Ingo Frommholz, University of Wolverhampton, UK

• Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany

• Guillaume Cabanac, University of Toulouse, France

• Suzan Verberne, Leiden University, the Netherlands

For any inquiries please email bir2024@easychair.org.

Program Committee

• Dietmar Wolfram, University of Wisconsin-Milwaukee

• Karam Abdulahhad, DLR - German Aerospace Center

• Ralf Schenkel, Trier University

• Patrice Bellot, Aix-Marseille Université - CNRS (LIS)

• José Borbinha, Universidade de Lisboa

• Iana Atanassova, CRIT, Université de Bourgogne Franche-Comté

• Roman Kern, Know-Center GmbH

• Gerd Berget, Oslo Metropolitan University

• Marc Bertin, Université Claude Bernard Lyon 1

• Rajesh Piryani, IRIT - Equipe MELODI Universite Paul Sabatier

• Lucy Lu Wang, Allen Institute for AI and University of Washington

• Philipp Schaer, TH Köln (University of Applied Sciences)

• Gilles Hubert, IRIT

• Mike Thelwall, University of Sheffield

• Norbert Fuhr, University of Duisburg-Essen

• Vivek Kumar Singh, Banaras Hindu University,India