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XAI+KG Workshop @ESWC2025 - CALL FOR PAPERS

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1st International Workshop on Explainable AI and Knowledge Graphs (XAI+KG)

JUNE 1-5, 2025

co-located with ESWC 2025 (https://2025.eswc-conferences.org/) - Portoroz, Slovenia

Web: https://xaikg2025.demacs.unical.it/

Submission: https://easychair.org/conferences/?conf=xaikgeswc2025

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IMPORTANT DATES

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Paper Submission Deadline: 6th March 2025

Paper Notification: 3rd April 2025

Camera Ready: 17th April 2025

Workshop: 1-5 June 2025 (EXACT DAY TO BE CONFIRMED)

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SCOPE

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The synergy between eXplainable AI (XAI) and Knowledge Graphs (KGs) has gained momentum as an essential approach for achieving transparency, trust, and understanding in AI systems. Knowledge Graphs provide a structured, interconnected framework for representing domain-specific knowledge, while XAI aims either to provide insight for predicted results or to clarify how machine learning models function internally, particularly deep learning systems, which are often complex and difficult to interpret. By leveraging KGs within XAI, researchers and practitioners can enhance the understanding and interpretability of AI models, enabling explanations that are both contextual and relevant to domain knowledge, making it easier for users to trust and understand AI-driven insights and decisions.
The combination of XAI and KGs presents unique advantages and challenges. KGs can serve as an intuitive map for AI reasoning paths, offering insights into the relationships and logic that AI systems use to reach conclusions. This can be particularly valuable in applications requiring high levels of transparency, such as healthcare, finance, and law, where understanding the rationale behind AI predictions and actions is crucial. Conversely, XAI can assist in constructing and refining KGs, helping to identify which aspects of a graph's structure contribute most to accurate, reliable reasoning, ultimately enriching KG content with a layer of explainable intelligence.

This workshop aims to bring together researchers, practitioners, and industry experts to explore the vast opportunities and specific challenges of combining XAI with KGs. We invite discussion on novel methodologies, applications, and case studies demonstrating how KGs can improve interpretability in complex AI models, and how XAI can, in turn, enhance knowledge extraction, inference, and reasoning within KGs. Topics will span theoretical advances, practical tools, and industry applications, fostering dialogue on how KGs can make black-box AI systems more understandable, and how explainability can guide KG development.

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TOPICS

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The main topics include but are not limited to:

Techniques and best practices for building interpretable models using KGs.
Graph-Based Interpretability in Neural Networks
Leveraging KGs to infer causality and improve explanations in AI.
Generating human-understandable explanations from KGs for NLP applications.
Evaluation protocols, Metrics and benchmarks for assessing the quality and clarity of KG-based explanations.
User-Centric Explanations via KGs
Explainability in Dynamic and Temporal Knowledge Graphs
Case studies on using XAI with KGs in Industry (e.g. healthcare, finance, and more).
Bias and Fairness in Explainable Knowledge Graphs.
Hands-on tools and open-source libraries for implementing XAI and KGs in real-world settings.

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SUBMISSIONS

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Submissions must be written in English, prepared using the new CEUR-ART 1-column style (which you can download here, also available as an Overleaf template here), formatted in PDF, and submitted through EasyChair workshp page https://easychair.org/conferences/?conf=xaikgeswc2025.

All accepted papers are expected to be presented at the conference and at least one author of each accepted paper must travel to the ESWC venue in person. Submissions should be single-blind so the names of the authors will be visible to the reviewers and should be indicated on the submitted files.

Meeting the criteria, proceedings of XAI+KG-2025 are planned to be published at CEUR Workshop Proceedings.

Claudia d'Amato, University of Bari, Italy
Valeria Fionda - University of Calabria, Italy
Ilaria Tiddi - Vrije Universiteit Amsterdam, The Netherlands
Gabriele Tolomei - Sapienza University Rome, Italy