| Vol-4192 urn:nbn:de:0074-4192-x Copyright © 2026 for the individual papers by the papers' authors. Copyright © 2026 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# EDBT/ICDT-WS 2026
EDBT/ICDT 2026 Workshops

## Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference
co-located with the EDBT/ICDT 2026 Joint Conference

### Tampere, Finland, March 24, 2026.

Edited by

### Alexander Krause *
João Felipe Pimentel **

* Technische Universität Dresden, Nöthnitzer Str. 46, 01187 Dresden, Germany
** Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, s/nº, Niterói/RJ 24210-346, Brazil

## Table of Contents

- Preface

### 10th International Workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP)

- On testing a data access architecture based on micro-services
  Michał Bodziony, Filip Szóstak, Konrad Tarnacki, Robert Wrembel
- Combining Supervised and Unsupervised Learning for Efficient, Explainable, and Interoperable Anomaly Detection (short paper)
  Grisha Weintraub, Leonid Rise, Doron Hillman, Paula Ta-Shma
- Selective Post-hoc Bias Mitigation via Counterfactual Sensitivity (short paper)
  Roti Islam Shithy, Maria Stratigi, Kostas Stefanidis
- Navigating the Shift: A Comparative Analysis of Web Search and Generative AI Response Generation
  Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas
- A Dataset Generation Method for Bias Evaluation in Retrieval-Augmented Generation
  Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa, Kostas Stefanidis
- Interpretable AI for Skin Screening: MultiExCam for Melanoma, Basal Cell Carcinoma and Benign Nevi Classification (short paper)
  Maira Aracne, Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano
- Data-Driven Fault Detection of Automotive Engine Mounts Using Onboard Vibration Signals
  Yangtao Chen, Mirco Hauke, Alexander Belitzki, Daniele Apiletti
- Exploring In-Context Learning Strategies for Temporal Ordering of Legal Events using Large Language Models
  Andrea Cacioli, Luca Cagliero, Francesco Tarasconi
- From Architecture to Implementation: Robotic Data Pipelines for Digital Agriculture GIS
  Piotr Skrzypczyński, Filip Baranowski, Krzysztof Ćwian, Maciej Krupka, Jakub Pilarski, Antoni Sopata, Robert Wrembel
- Transformer-based Analysis of Vehicle CAN Bus Data for Predictive Maintenance: A Real Case Study
  Ali Yassine, Fabio Zorzan, Lucia Salvatori, Luca Vassio, Luca Cagliero
- Governing the Whole Stack: Auditable Data Science Queries for Frugal and Sovereign Environmental AI (short paper)
  Genoveva Vargas-Solar
- A vision for sustainable, equitable healthcare applications with XAI and transfer learning to augment neural models
  Aparna S. Varde, Benjamin Rasmussen
- Hybrid Multi-Source RAG for Context-Aware Conversational Data Access
  Giorgia Di Nicola, Stefano Iannucci, Riccardo Torlone
- On Discovering Provenance of Data Warehouse Objects Created by Select-Project Queries
  Witold Andrzejewski, Pawel Boinski, Robert Wrembel
- SkiSlo: leveraging Digital Twins to improve Ski Safety
  Davide Cortinovis, Giulia De Pascale, Nunzio Licalzi, Andrea Pantano, Matteo Postinghel, Riccardo Savio, Cosmo Spinosa, Andrea Tarabotto, Daniele Apiletti, Carlo Iapige De Gaetani, Giovanni Malnati
- Differentiable Synthetic Dataset Generation for Non-Trivial Regression Tasks (short paper)
  Flavio Giobergia, Claudio Savelli
- From Human to Scalable Annotation: Teaching LLMs to mimic experts labeling on Economic News Sentiment
  Michele Petrocelli, Andrea Rollin, Matteo Berta, Francesca Zafonte, Simone Monaco, Salvatore Lo Sardo, Daniele Apiletti, Daria Scacciatelli, Tania Cerquitelli

### 8th International Workshop on Big Mobility Data Analytics (BMDA)

- How to implement your Trajectory Data Warehouse? Design and Evaluation (short paper)
  Rim Moussa, Sandro Bimonte, Robert Wrembel
- MobilityDuck: Mobility Data Management with DuckDB
  Nhu Ngoc Hoang, Ngoc Hoa Pham, Viet Phuong Hoang, Esteban Zimányi
- Short-Term Traffic Congestion Prediction Using Machine Learning: XGBoost vs. Deep Neural Networks
  George S. Theodoropoulos, Zoi Nikolarakis, Yannis Theodoridis
- Spatial RAG for Big Data-Driven Urban Itinerary Recommendation (short paper)
  Maddalena Amendola, Chiara Pugliese, Raffaele Perego, Chiara Renso
- Mobile Traffic Data as a Proxy for Urban Mobility: a Preliminary Study in Paris
  Debora Giovannelli, Fabio Pinelli, Chiara Pugliese
- A Benchmark Framework for Trajectory Vectorization in Unsupervised Settings
  Cristiano Landi, Petros Mandalis, Nikos Pelekis

### 5th International Workshop on Data Systems Education (DataEd)

- GRANT Privileges, REVOKE Risk: Safe and Scalable Teaching of Database Administration with Isolated Containers
  Andrzej Wójtowicz, Maciej Prill
- Teaching Query-Driven Design in Aggregate-Oriented NoSQL Systems: Resources, Methodology, and Tool Support
  Barbara Catania, Giovanna Guerrini, Amer Al Khoury
- Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework
  Viktoriia Makovska, Ihor Michurin, Mariia Tokhtamysh, George Fletcher, Julia Stoyanovich
- A Collection of Demonstrations with PostgreSQL for Teaching and Learning Database System Internals
  Stefan Halfpap, Daniel Hristov, Volker Markl
- AI-Assisted Generation of SQL Comprehension Questions
  Martin Goodfellow, Alasdair Lambert, Andrew Fagan, Robbie Booth
- A Proposal for Revising SQL Error Taxonomies Based on Automated Detection
  Davide Ponzini, Giovanna Guerrini, Barbara Catania
- SemiStructQuest: Unveiling NoSQL Database Concepts Through Gamified Learning Platform Analyses (short paper)
  Nelly Barret, Mélina Verger

### 2nd International Workshop on Transforming Graph Data (TGD)

- Exploiting Temporal Importance for Adversarial Attacks on Dynamic Graphs
  Brilian Surya Budi, Toshiyuki Amagasa
- Data Lineage Discovery in Databases based on Knowledge Graph Link Prediction
  Jakub Dutkiewicz, Paweł Misiorek, Robert Wrembel
- Beyond Prompt-to-RDF: A Vision for Scalable and Explainable Graph Transformations via LLM-assisted Schema Mappings (short paper)
  Yannis Marketakis, Yannis Tzitzikas
- Declarative Debugging for Datalog with Aggregation
  Raimund Dachselt, Lukas Gerlach, Philipp Hanisch, Alex Ivliev, Markus Krötzsch, Maximilian Marx, Julián Méndez
- Heterogeneity Detection and Comparison for Cost-Aware Graph Schema Evolution and Transformation
  Dominique Hausler, Meike Klettke
- GSS: Graph Semantic Summarization using answer-centered explanatory subgraphs
  Valantis Zervos, Spyridon Doukeris, Kiki Miniadou, Giannis Vassiliou, Sophia Sideri, Haridimos Kondylakis
- Quantum-PG-HIVE: Schema Discovery for Property Graphs using Quantum Computing (short paper)
  Emmanouil Limnaios, Sophia Sideri, Haridimos Kondylakis
- Property Graph Transformations in Action: From Data Integration to Causal Analysis (abstract)
  Angela Bonifati
- Trigger Graphs and Probabilistic Equivalence: Towards Scalable and Efficient Inference and Neurosymbolic Learning (abstract)
  Efthymia Tsamoura

### 1st International Workshop on Explainable Data Science and Machine Learning for the Sciences (XAI4Science)

- Towards Guiding Data Imputation for Scientific Data Analytics Via SHAP-like Scores (short paper)
  Omer Abramovich, Hadas Stiebel-Kalish, Daniel Deutch
- Counterfactual Explanations for Equivariant Graph Neural Networks: CE-EGNN for Molecular Property Regression (short paper)
  Salah-Eddine Rizki, Fatia Lekbour, Guillaume Renton
- Unified evaluation of predictive models for failure prediction
  Apostolos Giannoulidis, Ioannis Iordanis, Katerina Tzompanaki
- Rethinking HyperSpectral Image Classification (HSIC) Benchmark with Explainability (xAI) under a Causal Estimation Perspective
  Sékou Dabo, Michele Linardi, Claudia Paris
- Challenges of Explainability in Continual Learning for Time Series Forecasting
  Quentin Besnard, Emmanuel Doumard, Nicolas Labroche, Nicolas Ragot, Nicolas Ringuet
- LogiX-Me: Logic-based Self-Explainable Message Passing GNN (short paper)
  Simone Palumbo, Alessio Ragno, Roberto Capobianco, Marc Plantevit, Céline Robardet

### 1st International Workshop on Quality in Large Language Models and Knowledge Graphs (QuaLLM-KG)

- OQuaRE-KG: an OQuaRE inspired framework for knowledge graph quality assessment
  Belén Juanes-Cortés, Juan Mulero-Hernández, Jesualdo Tomás Fernández-Breis
- A Systematic Literature Review on Hallucination Detection Methods in LLMs
  Elisa Bestetti, Zheying Zhang, Kostas Stefanidis
- Agentic AI, Context Engineering and Knowledge Graphs: Current Approaches, Challenges and Opportunities
  Niraj Karki, Manjila Pandey, Sanju Tiwari, Nandana Mihindukulasooriya, Sven Groppe, Daniel Dobriy
- Metadata-Guided Diffusion and LLM-Orchestrated Quality Governance for Time Series Imputation (short paper)
  Imane Hocine, Asma Abboura, Abdelaziz Kella, Maria Hanini, Grégoire Danoy
- Towards LLM-KG Symbiosis for Reducing Factual Hallucinations (short paper)
  Tommaso Dolci, Milos Jovanovik, Katja Hose

2026-03-16: submitted by Alexander Krause, metadata incl. bibliographic data published under Creative Commons CC0
2026-04-09: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|