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IRonGraphs 2024 : First International Workshop on Graph-Based Approaches in Information Retrieval | |||||||||||||||
Link: https://irongraphs.github.io/ecir2024/ | |||||||||||||||
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Call For Papers | |||||||||||||||
IRonGraphs Workshop @ ECIR 2024 - CALL FOR PAPERS
------------------------------------------------------------------------------------- First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs) March 24, 2024 co-located with ECIR 2024 (https://www.ecir2024.org/) - Glasgow, Scotland Twitter: https://twitter.com/IRonGraphsWS Website: https://irongraphs.github.io/ecir2024/ Submission: https://easychair.org/conferences/?conf=irongraphs2024 Contacts: irongraphsworkshop@gmail.com Additional Contacts: ludovico.boratto@acm.org; daniele.malitesta@poliba.it; mirko.marras@acm.org; giacomo.medda@unica.it; cataldo.musto@uniba.it; erasmo.purificato@ovgu.de ========== HIGHLIGHTS ========== - SUBMISSION DEADLINE: *** JANUARY 15, 2024 *** - Springer's Communications in Computer and Information Science (CCIS) post-proceedings volume ======== ABSTRACT ======== In the ever-evolving landscape of information retrieval, harnessing the power of graph-based approaches has emerged as a transformative force. Graph theory, which has long been among the backbones of computer science and data analysis, is becoming crucial within personalization and search domains, especially with the recent widespread research on Knowledge Graphs and Graph Neural Networks. These models offer a versatile set of techniques and tools that enhance information retrieval's effectiveness and relevance. They leverage the power of interconnected data to provide users with more accurate, context-aware, and personalized search results and recommendations. The First International Workshop on Graph-Based Approaches in Information Retrieval (IRonGraphs 2024) serves as a pivotal venue where researchers, practitioners and enthusiasts from diverse backgrounds converge to explore and discuss the integration of graph-based methodologies into information retrieval studies and applications. ====== TOPICS ====== * Topics of interest include, but are not limited to: * Graph-Based Models for Information Retrieval; * Graph-Based Ranking Methods; * Personalised Search and Recommendation; * Knowledge Graphs and Information Retrieval; * Graph-Based Query Expansion; * Semantic Understanding; * Behavioural User Profiling; * Cross-Domain and Cross-Lingual Retrieval; * Evaluation Metrics and Benchmarks; * Fairness, Explainability, and Privacy; * Real-World Applications; * Future Directions and Challenges; =========== SUBMISSIONS =========== We invite authors to submit unpublished original papers, written in English. Submitted papers should not have been previously published or accepted for publication in substantially similar form in any peer-reviewed venue, such as journals, conferences, or workshops. The authors should consult ECIR paper guidelines and Fuhr’s guide to avoid common IR evaluation mistakes, for the preparation of their papers. The authors should consult the Springer's authors' guidelines and use their proceedings templates, either LaTeX or Word. Papers should be submitted as PDF files to Easychair at https://easychair.org/conferences/?conf=irongraphs2024. We will consider three different submission types: * Full papers (12 pages) should be clearly placed with respect to the state of the art and state the contribution of the proposal in the domain of application. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and a comparison with the existing approaches in the literature should be made. * Reproducibility papers (12 pages) should repeat prior experiments using the original source code and datasets to show how, why, and when the methods work or not (replicability papers) or should repeat prior experiments, preferably using the original source code, in new contexts (e.g., different domains and datasets, different evaluation and metrics) to further generalize and validate or not previous work (reproducibility papers). * Short papers (6 pages) should present novel, thought-provoking ideas and address innovative application areas within the workshop topics, with comparable experimental results, even if preliminary. * Position papers (4 pages) should introduce new points of view in the workshop topics or summarize the experience of a group in the field. Submissions may exceed the indicated number of pages only with references. All submissions will go through a double-blind review process and be reviewed by at least three reviewers on the basis of relevance for the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references and reproducibility. Submitted papers will be rejected without review in case they are not properly anonymized, do not comply with the template, or do not follow the above guidelines. The accepted papers and the material generated during the meeting will be available on the workshop website. The workshop proceedings will be published as a Springer's Communications in Computer and Information Science (CCIS) revised post-proceedings volume, indexed on Google Scholar, DBLP and Scopus. The authors of selected papers may be invited to submit an extended version in a journal special issue. Please be aware that at least one author per paper needs to register and attend the workshop to present the work. We expect authors, the program committee, and the organizing committee to adhere to the ACM's Conflict of Interest Policy and the ACM's Code of Ethics and Professional Conduct. =============== IMPORTANT DATES =============== * Paper submission deadline: January 15, 2024 * Author notification: February 19, 2024 * Camera-ready submission deadline: February 26, 2024 * Workshop: March 24, 2024 All deadlines must be considered at 11:59 PM AoE. =========== PROCEEDINGS =========== The workshop proceedings will be published as a Springer's Communications in Computer and Information Science (CCIS) revised post-proceedings volume, indexed on Google Scholar, DBLP and Scopus. ============ ORGANIZATION ============ Ludovico Boratto (ludovico.boratto@acm.org), University of Cagliari, Cagliari (Italy) Daniele Malitesta (daniele.malitesta@poliba.it), Polytechnic University of Bari, Bari (Italy) Mirko Marras (mirko.marras@acm.org), University of Cagliari, Cagliari (Italy) Giacomo Medda (giacomo.medda@unica.it), University of Cagliari, Cagliari (Italy) Cataldo Musto (cataldo.musto@uniba.it), University of Bari, Bari (Italy) Erasmo Purificato (erasmo.purificato@ovgu.de), Otto von Guericke University Magdeburg, Magdeburg (Germany) |
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