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EDBT 2026

A

International Conference on Extending Database Technology

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133
accepted papers
125
authors
March 24-27, 2026
dates
Finland
location

133 / 133 papers

  1. 1
    A Benchmark Framework for Trajectory Vectorization in Unsupervised Settings
    Cristiano Landi
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  2. 2
    A Collection of Demonstrations with PostgreSQL for Teaching and Learning Database System Internals
    Stefan Halfpap
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  3. 3
    A Dataset Generation Method for Bias Evaluation in Retrieval-Augmented Generation
    Yingqi Zhao
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  4. 4
    A Declarative, Recursive SQL Framework for Composable Machine Learning Ensembles
    Jason Arnold
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  5. 5
    A Functional Data Model and Query Language is All You Need
    Jens Dittrich
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  6. 6
    A Proposal for Revising SQL Error Taxonomies Based on Automated Detection
    Davide Ponzini
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  7. 7
    A Systematic Literature Review on Hallucination Detection Methods in LLMs
    Elisa Bestetti
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  8. 8
    A vision for sustainable, equitable healthcare applications with XAI and transfer learning to augment neural models
    Aparna S. Varde
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  9. 9
    Accelerating Graph Construction for MIPS without Search Accuracy Loss
    Yasuhiro Fujiwara
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  10. 10
    Accelerating K-Core Computation in Temporal Graphs
    Zhuo Ma
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  11. 11
    Adaptive Query-Aware Hybrid Search in Vector Databases
    Adeel Aslam
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  12. 12
    AdCache: Adaptive Cache Management with Admission Control for LSM-tree Key-Value Stores
    Jiarui Ye
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  13. 13
    Agentic AI, Context Engineering and Knowledge Graphs: Current Approaches, Challenges and Opportunities
    Niraj Karki
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  14. 14
    AI-Assisted Generation of SQL Comprehension Questions
    Martin Goodfellow
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  15. 15
    ALOG: Adaptive Longitudinal Grids for Geospatial Data using Local Differential Privacy
    Eduardo Rodrigues Duarte Neto
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  16. 16
    AnonymEx: An Interactive Platform for Exploring and Evaluating Anonymization Techniques through Re-identification Attacks
    Andrea Fieschi
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  17. 17
    Automatic Detail Extraction from Sustainability Objectives Using Weak Supervision
    Mohammad Mahdavi
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  18. 18
    Automating Efficient Data Collection through the Synergy of Agentic AI and Active Learning
    Yael Einy
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  19. 19
    Benchmarking Large Language Models for Knowledge Graph Validation
    Farzad Shami
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  20. 20
    Benchmarking Multi-Tenant Architectures in PostgreSQL
    Patrick K. Erdelt
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  21. 21
    Beyond Prompt-to-RDF: A Vision for Scalable and Explainable Graph Transformations via LLM-assisted Schema Mappings
    Yannis Marketakis
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  22. 22
    C-SHIFT: Efficient Cluster-based Model Fairness Control under Data Drift
    Yijie Li
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  23. 23
    CAMEL Hash Table: Striking a Balance Between CPU and Memory Efficiency in Main-Memory Hash Join
    Sudip Chatterjee
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  24. 24
    CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression
    Carlos Enrique Muñiz-Cuza
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  25. 25
    Challenges of Explainability in Continual Learning for Time Series Forecasting
    Quentin Besnard
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  26. 26
    Click, Share, Learn: Teaching Data Science Using Apache Texera
    Sarah Asad
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  27. 27
    CMiner: An Algorithm to Discover Frequent Structures in Conceptual Models
    Simone Avellino
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  28. 28
    CoDeC: Constraints-Guided Diverse Counterfactuals
    Avia Asael
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  29. 29
    Collaborative Scoping: Self-Supervised Linkability Assessment for Schema Matching
    Leonard Traeger
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  30. 30
    Combining Supervised and Unsupervised Learning for Efficient, Explainable, and Interoperable Anomaly Detection
    Grisha Weintraub
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  31. 31
    Counterfactual Explanations for Equivariant Graph Neural Networks: CE-EGNN for Molecular Property Regression
    Salah-Eddine Rizki
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  32. 32
    Data Lineage Discovery in Databases based on Knowledge Graph Link Prediction
    Jakub Dutkiewicz
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  33. 33
    Data-Driven Fault Detection of Automotive Engine Mounts Using Onboard Vibration Signals
    Yangtao Chen
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  34. 34
    Data-Driven Trajectory Imputation for Vessel Mobility Analysis
    Giannis Spiliopoulos
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  35. 35
    DCSR: A Fast Data Structure with Leaf-Oriented Locks for Streaming Graph Processing
    Yue Shen
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  36. 36
    Declarative Debugging for Datalog with Aggregation
    Raimund Dachselt
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  37. 37
    DEDALUS: A Quantum-Enhanced End-to-End Framework for Cost-Aware Join Order Optimization with Search Space Pruning
    Emmanouil Limnaios
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  38. 38
    Demonstrating PIPE-X: Supporting Iterative Pipeline Development Through Explanations
    Nadja Geisler
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  39. 39
    DendroTime: Progressive Hierarchical Clustering for Variable-Length Time Series
    Sebastian Schmidl
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  40. 40
    Differentiable Synthetic Dataset Generation for Non-Trivial Regression Tasks
    Flavio Giobergia
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  41. 41
    Disaggregated Data System Architecture - State-of-the-Art and Open Challenges
    Alexander Krause
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  42. 42
    Distance Comparison Operation Optimization in ANNS: A Survey and Experimental Evaluation
    Bohai Wang
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  43. 43
    Diverse Unionable Tuple Search: Novelty-Driven Discovery in Data Lakes
    Aamod Khatiwada
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  44. 44
    Dynamic Prefiltering for Massive-Scale Equi- and Geospatial Joins
    Jason Arnold
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  45. 45
    Efficient Crawling for Scalable Web Data Acquisition
    Antoine Gauquier
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  46. 46
    Efficient Dataframe Systems: Lazy Fat Pandas on a Diet
    Bhushan Pal Singh
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  47. 47
    Efficient Locality-based Indexing for Cohesive Subgraphs Discovery in Hypergraphs
    Song Kim
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  48. 48
    Efficient Model Repository for Entity Resolution: Construction, Search, and Integration
    Victor Christen
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  49. 49
    Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation
    Dongqi Fu
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  50. 50
    Efficient Vector-Based Louvain Algorithm for Massive Low-Rank Graphs
    Tengkai Yu
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