EDBT/ICDT-WS 2026

Table of Contents

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• On testing a data access architecture based on micro-services PDF
  Michał Bodziony, Filip Szóstak, Konrad Tarnacki, Robert Wrembel
• Combining Supervised and Unsupervised Learning for Efficient, Explainable, and Interoperable Anomaly Detection PDF
  Grisha Weintraub, Leonid Rise, Doron Hillman, Paula Ta-Shma
• Selective Post-hoc Bias Mitigation via Counterfactual Sensitivity PDF
  Roti Islam Shithy, Maria Stratigi, Kostas Stefanidis
• Navigating the Shift: A Comparative Analysis of Web Search and Generative AI Response Generation PDF
  Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas
• A Dataset Generation Method for Bias Evaluation in Retrieval-Augmented Generation PDF
  Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa, Kostas Stefanidis
• Interpretable AI for Skin Screening: MultiExCam for Melanoma, Basal Cell Carcinoma and Benign Nevi Classification PDF
  Maira Aracne, Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano
• Data-Driven Fault Detection of Automotive Engine Mounts Using Onboard Vibration Signals PDF
  Yangtao Chen, Mirco Hauke, Alexander Belitzki, Daniele Apiletti
• Exploring In-Context Learning Strategies for Temporal Ordering of Legal Events using Large Language Models PDF
  Andrea Cacioli, Luca Cagliero, Francesco Tarasconi
• From Architecture to Implementation: Robotic Data Pipelines for Digital Agriculture GIS PDF
  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 PDF
  Ali Yassine, Fabio Zorzan, Lucia Salvatori, Luca Vassio, Luca Cagliero
• Governing the Whole Stack: Auditable Data Science Queries for Frugal and Sovereign Environmental AI PDF
  Genoveva Vargas-Solar
• A vision for sustainable, equitable healthcare applications with XAI and transfer learning to augment neural models PDF
  Aparna S. Varde, Benjamin Rasmussen
• Hybrid Multi-Source RAG for Context-Aware Conversational Data Access PDF
  Giorgia Di Nicola, Stefano Iannucci, Riccardo Torlone
• On Discovering Provenance of Data Warehouse Objects Created by Select-Project Queries PDF
  Witold Andrzejewski, Pawel Boinski, Robert Wrembel
• SkiSlo: leveraging Digital Twins to improve Ski Safety PDF
  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 PDF
  Flavio Giobergia, Claudio Savelli
• From Human to Scalable Annotation: Teaching LLMs to mimic experts labeling on Economic News Sentiment PDF
  Michele Petrocelli, Andrea Rollin, Matteo Berta, Francesca Zafonte, Simone Monaco, Salvatore Lo Sardo, Daniele Apiletti, Daria Scacciatelli, Tania Cerquitelli
• How to implement your Trajectory Data Warehouse? Design and Evaluation PDF
  Rim Moussa, Sandro Bimonte, Robert Wrembel
• MobilityDuck: Mobility Data Management with DuckDB PDF
  Nhu Ngoc Hoang, Ngoc Hoa Pham, Viet Phuong Hoang, Esteban Zimányi
• Short-Term Traffic Congestion Prediction Using Machine Learning: XGBoost vs. Deep Neural Networks PDF
  George S. Theodoropoulos, Zoi Nikolarakis, Yannis Theodoridis
• Spatial RAG for Big Data-Driven Urban Itinerary Recommendation PDF
  Maddalena Amendola, Chiara Pugliese, Raffaele Perego, Chiara Renso
• Mobile Traffic Data as a Proxy for Urban Mobility: a Preliminary Study in Paris PDF
  Debora Giovannelli, Fabio Pinelli, Chiara Pugliese
• A Benchmark Framework for Trajectory Vectorization in Unsupervised Settings PDF
  Cristiano Landi, Petros Mandalis, Nikos Pelekis
• GRANT Privileges, REVOKE Risk: Safe and Scalable Teaching of Database Administration with Isolated Containers PDF
  Andrzej Wójtowicz, Maciej Prill
• Teaching Query-Driven Design in Aggregate-Oriented NoSQL Systems: Resources, Methodology, and Tool Support PDF
  Barbara Catania, Giovanna Guerrini, Amer Al Khoury
• Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design Framework PDF
  Viktoriia Makovska, Ihor Michurin, Mariia Tokhtamysh, George Fletcher, Julia Stoyanovich
• A Collection of Demonstrations with PostgreSQL for Teaching and Learning Database System Internals PDF
  Stefan Halfpap, Daniel Hristov, Volker Markl
• AI-Assisted Generation of SQL Comprehension Questions PDF
  Martin Goodfellow, Alasdair Lambert, Andrew Fagan, Robbie Booth
• A Proposal for Revising SQL Error Taxonomies Based on Automated Detection PDF
  Davide Ponzini, Giovanna Guerrini, Barbara Catania
• SemiStructQuest: Unveiling NoSQL Database Concepts Through Gamified Learning Platform Analyses PDF
  Nelly Barret, Mélina Verger
• Exploiting Temporal Importance for Adversarial Attacks on Dynamic Graphs PDF
  Brilian Surya Budi, Toshiyuki Amagasa
• Data Lineage Discovery in Databases based on Knowledge Graph Link Prediction PDF
  Jakub Dutkiewicz, Paweł Misiorek, Robert Wrembel
• Beyond Prompt-to-RDF: A Vision for Scalable and Explainable Graph Transformations via LLM-assisted Schema Mappings PDF
  Yannis Marketakis, Yannis Tzitzikas
• Declarative Debugging for Datalog with Aggregation PDF
  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 PDF
  Dominique Hausler, Meike Klettke
• GSS: Graph Semantic Summarization using answer-centered explanatory subgraphs PDF
  Valantis Zervos, Spyridon Doukeris, Kiki Miniadou, Giannis Vassiliou, Sophia Sideri, Haridimos Kondylakis
• Quantum-PG-HIVE: Schema Discovery for Property Graphs using Quantum Computing PDF
  Emmanouil Limnaios, Sophia Sideri, Haridimos Kondylakis
• Property Graph Transformations in Action: From Data Integration to Causal Analysis PDF
  Angela Bonifati
• Trigger Graphs and Probabilistic Equivalence: Towards Scalable and Efficient Inference and Neurosymbolic Learning PDF
  Efthymia Tsamoura
• Towards Guiding Data Imputation for Scientific Data Analytics Via SHAP-like Scores PDF
  Omer Abramovich, Hadas Stiebel-Kalish, Daniel Deutch
• Counterfactual Explanations for Equivariant Graph Neural Networks: CE-EGNN for Molecular Property Regression PDF
  Salah-Eddine Rizki, Fatia Lekbour, Guillaume Renton
• Unified evaluation of predictive models for failure prediction PDF
  Apostolos Giannoulidis, Ioannis Iordanis, Katerina Tzompanaki
• Rethinking HyperSpectral Image Classification (HSIC) Benchmark with Explainability (xAI) under a Causal Estimation Perspective PDF
  Sékou Dabo, Michele Linardi, Claudia Paris
• Challenges of Explainability in Continual Learning for Time Series Forecasting PDF
  Quentin Besnard, Emmanuel Doumard, Nicolas Labroche, Nicolas Ragot, Nicolas Ringuet
• LogiX-Me: Logic-based Self-Explainable Message Passing GNN PDF
  Simone Palumbo, Alessio Ragno, Roberto Capobianco, Marc Plantevit, Céline Robardet
• OQuaRE-KG: an OQuaRE inspired framework for knowledge graph quality assessment PDF
  Belén Juanes-Cortés, Juan Mulero-Hernández, Jesualdo Tomás Fernández-Breis
• A Systematic Literature Review on Hallucination Detection Methods in LLMs PDF
  Elisa Bestetti, Zheying Zhang, Kostas Stefanidis
• Agentic AI, Context Engineering and Knowledge Graphs: Current Approaches, Challenges and Opportunities PDF
  Niraj Karki, Manjila Pandey, Sanju Tiwari, Nandana Mihindukulasooriya, Sven Groppe, Daniel Dobriy
• Metadata-Guided Diffusion and LLM-Orchestrated Quality Governance for Time Series Imputation PDF
  Imane Hocine, Asma Abboura, Abdelaziz Kella, Maria Hanini, Grégoire Danoy
• Towards LLM-KG Symbiosis for Reducing Factual Hallucinations PDF
  Tommaso Dolci, Milos Jovanovik, Katja Hose