BIR 2024
14th International Workshop on Bibliometric-enhanced Information Retrieval
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
Keynote
Hong Zhou
AI Impact for Information Discovery in Scholarly Publishing - From information gathering to knowledge application
Abstract:
As we transition to a knowledge-centric approach, AI emerges as a pivotal tool in aggregating and linking diverse types of content, thereby unveiling greater value and insights. This presentation will explore AI's impact on information discovery in the academic publishing ecosystem, from assisting in the research process to enhancing the peer review system and improving content recommendations. We will also share problems and challenges that we learn from publishers, societies, and researchers and discuss the potential solutions with some real examples
We also share insights into how AI is reshaping information discovery, fostering a shift towards more natural and interactive engagement methods with real applications we have developed on Atypon platform, the largest digital publishing platform in the world and paving the way for a future where digital transformation enhances discoverability and accessibility.
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