About the Workshop
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.
The workshop welcomes contributions on all topics related to graph-based approaches in Information Retrieval, focused (but not limited) to:
Graph-Based Models for Information Retrieval
Surveys on various graph-based models, including Graph Neural Networks, and their applications in Information Retrieval.
Graph-Based Ranking Methods
Exploration of algorithms that leverage graphs to improve document ranking and relevance in search engines.
Personalised Search and Recommendation
How graph-based approaches enable personalised search and recommendation through graphs.
Knowledge Graphs and Information Retrieval
The use of knowledge graphs to enhance search results, answer complex queries, and provide explanations.
Graph-Based Query Expansion
Techniques for expanding user queries using graph-based methods such that recall and precision in search are improved.
How graph-based models capture semantic relationships between entities and concepts to understand user intent.
Behavioural User Profiling
How behavioural user profiling through graphs impacts IR, enabling more context-aware and personalised search.
Cross-Domain and Cross-Lingual Retrieval
Strategies that adopt graphs to facilitate effective cross-domain and cross-lingual information retrieval.
Evaluation Metrics and Benchmarks
Evaluation metrics and benchmark datasets for assessing the performance of graph-based approaches in Information Retrieval.
Fairness, Explainability, and Privacy
Ethical implications related to the use of graph-based methods in Information Retrieval.
Case studies and real-world applications of graph-based techniques (e.g. in education, healthcare, and tourism).
Future Directions and Challenges
Emerging trends, open research challenges, and opportunities for further innovation of graph-based information retrieval.
Call for Papers
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, though-provoking ideas and addressing innovative application areas within the workshop topics, with comparable experimental results, even if preliminary.
- Position papers (4 pages) should introduce new point of views 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 are intended to 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.
- Submission: January 15, 2024
- Author notification: February 19, 2024
- Camera-ready: February 26, 2024
- Workshop day: March 24, 2024
All the deadlines are set at 11:59 PM AoE.
University of Cagliari, Italy
Polytechnic University of Bari, Italy
University of Cagliari, Italy
University of Cagliari, Italy
University of Bari, Italy
Otto von Guericke University Magdeburg, Germany
Program Committee* The list of PC members will be constantly updated
- Marcelo Armentano - UNICEN, Argentina
- Giacomo Balloccu - University of Cagliari, Italy
- Alejandro Bellogin - Universidad Autonoma de Madrid, Spain
- Salvatore Bufi - Polytechnic University of Bari, Italy
- Jeongwhan Choi - Yonsei University, South Korea
- Edoardo D'Amico - University College Dublin, Ireland
- Danilo Dessì - GESIS, Leibniz Institute for the Social Sciences, Germany
- Claudio Di Sipio - University of L'Aquila, Italy
- Manuel Dileo - University of Milan, Italy
- Maurizio Ferrari Dacrema - Polytechnic University of Milan, Italy
- Rima Hazra - Singapore University of Technology and Design, Singapore
- Alireza Javadian Sabet - University of Pittsburgh, USA
- Dominik Kowald - Know-Center, Graz University of Technology, Austria
- Emanuel Lacic - Infobip
- Alberto Carlo Maria Mancino - Polytechnic University of Bari, Italy
- Tendai Mukande - Dublin City University, Ireland
- Julia Neidhardt - TU Wien, Austria
- Linsey Pang - Salesforce
- Ladislav Peska - Charles University, Prague, Czechia
- Claudio Pomo - Polytechnic University of Bari, Italy
- Vaijanath Rao - Quicken Inc.
- Mukul Singh - Microsoft
- Tokala Yaswanth Sri Sai Santosh - IIT Kharagpur, India
- Antonela Tommasel - Aarhus University, Denmark & CONICET-UNCPBA, ISISTAN Research Institute, Argentina
- Eva Zangerle - University of Innsbruck, Austria
Registration to the workshop will be managed by the ECIR 2024 organization.