New Trends in Database and Information Systems

ADBIS 2026 Short Papers, Workshops and Doctoral Consortium, Orléans, France, September 28 – October 1, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-39822-2
Verlag: Springer

Buch, Englisch, 454 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

This book constitutes short papers, demonstration papers, Doctoral Consortium School papers and workshop papers which were presented at the 30th European Conference on Advances in Databases and Information Systems, ADBIS 2026, which took place in Orléans, France, during September 28–October 1, 2026. They were carefully reviewed and selected for inclusion in this book.

A total of 18 short papers and 5 demonstration papers from the main conference are included in these proceedings, together with 4 Doctoral Consortium School papers and 13 workshop papers.

They were organized in the following topical sections: Similarity, topic modeling and knowledge graphs; Knowledge graphs, text-to-SQL and metadata extraction; Sustainability, privacy workflows and clinical analytics; Similarity search, truth discovery and anomaly detection; demos; Doctoral Consortium School; DEI4Teach: Diversity, Equity and Inclusion for Teaching Advanced Databases and Information Systems; MADEISD 2026: 8th Workshop on Modern Approaches in Data Engineering and Information System Design; FEHDA 2026: 2nd International Workshop on Fairness Exploration in Heterogeneous Data and Algorithms; and ERGA 2026: 2nd International Workshop on Entity Resolution and Graph Alignment.

Zielgruppe

Research

Autoren/Hrsg.

Vargas Solar, Genoveva

Stefanidis, Kostas

Palpanas, Themis

Marcel, Patrick

Halfeld-Ferrari, Mirian

Vassiliadis, Panos

Welzer, Tatjana

Gallinucci, Enrico

Peralta, Veronika

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

.- Similarity, topic modeling and knowledge graphs.

.- A Bimodal Gaussian Convolutional Jaro–Winkler Similarity for Token-Aware Entity 
Matching.

.- Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series 
Foundation Models.

.- Enhancing Topic Modeling Through Adaptive Similarity Thresholding: The Case of 
Large-Scale Citizen Contributions.

.- Efficient Knowledge Graph Evolution through Learning-Guided Exploration.

.- Knowledge graphs, text-to-SQL and metadata extraction.

.- A Multi-Layer Knowledge Graph for Motive Detection in Social Engineering  
Attacks.

.- Calibrated Multi-Agent Consensus for Knowledge Graph Validation using 
Open-Source LLM.

.- Towards Natural Language Reasoning and Hybrid Querying over Virtual Knowledge 
Graphs.

.- Content Learning for Metadata Extraction and Enrichment of Historical Hand-Drawn 
Illustrations.

.- Sustainability, privacy workflows and clinical analytics.

.- RL-Based Carbon-Aware Profit-Oriented Data Replication Strategy in Cloud  
Systems.

.- From BPMN to TLAQ: A Privacy-Preserving Framework for Executable Clinical 
Pathway Analytics in Federated Big Data Healthcare Systems.

.- Multimodal Survival Analysis on Hierarchical Representation of Clinical Trial  
Data.

.- Efficient Pruning of Range Queries under Fréchet Distance.

.- SmartIVF: A Z-Order Inverted File for Filtered Approximate Nearest-Neighbor 
Search.

.- Similarity search, truth discovery and anomaly detection.

.- Schema-Free Truth Discovery via Wasserstein Barycenters.

.- Using Distances and Pair Counting Correlations to Estimate Hierarchical 
Density-Based Clustering Parameters.

.- SparkADLS: Robust Semi-Supervised Anomaly Detection in Log Series.

.- Description generation of JSON data for fuzzy joins processing.

.- Towards Semantics-Aware Resilience in Composable Data Systems.

.- Demos.

.- EFaST: An Explainable Framework for Fair Sequential Task Assignment.

.- HARPY: Human-AI Collaboration for Database Error Resolution via LLMs.

.- MedVisionEx: A DIKW-Inspired, Retrieval-Augmented Knowledge-Graph-Grounded Pipeline for Explainable Medical Visual Question Answering.

.- An Interactive Framework for Data Generation from JSON Schema.

.- From Polypheny to MATLAB: Benchmarking Retrieval Speedup on Heterogeneous 
Data for the First Polystore Connector in MATLAB.

.- Doctoral Consortium School.

.- CO-FREDA: A Co-Participative, Frugal and Justice-Oriented AI Methodology for 
Responsible Data-Algorithm Driven Science (Invited Talk).

.- LLM-aided data exploration and storytelling.

.- From PATTS to Agentic Workflows for Zonation-Aware Well Log Imputation.

.- Knowledge-Based Conversational Recommendation with Large Language  
Models.

.- DEI4Teach: Diversity, Equity and Inclusion for Teaching Advanced 
Databases and Information Systems.

.- DEI4Teach: Engaging the ADBIS Community in Rethinking Databases and 
Information Systems Education with DEI.

.- MADEISD 2026: 8th Workshop on Modern Approaches in Data 
Engineering and Information System Design.

.- Performance and Fairness Evaluation of Deep Learning Models for Prostate Cancer 
Detection.

.- Relational Database Aggregation Filter.

.- A Visualization Framework for Semantics of a Concatenative Compositional 
Language.

.- From Sequential Semantics to Streaming Execution: Adapting COTILES on  
Spark.

.- Towards Formal Knowledge Routing for Forward Engineering in the ADM  
Lifecycle.

.- An Application of Model-Driven Engineering and the Form-Driven Approach to 
Database and Information System Development.

.- Cryptographic Fog of War: An Attribute-Based Encryption Framework for Cheat 
Resistance in Peer-to-Peer Turn-Based Games (short paper).

.- WasteAI: Coupling Deep Learning and Blockchain for End-to-End Waste Data 
Management (short paper).

.- SLM-Driven Schema Evolution for IoT Data Streams (short paper).

.- FEHDA 2026: 2nd International Workshop on Fairness 
Exploration in Heterogeneous Data and Algorithms .

.- Fairness-Accuracy Trade-offs in Group Recommendations: A Nash Bargaining 
Approach.

.- ERGA 2026: 2nd International Workshop on Entity Resolution 
and Graph Alignment.

.- Quality-Aware Entity Resolution Across Fragmented Temporal Graphs: Comparing 
Rule-Based, Learned, and Optimal-Transport Alignment.

- Risk-Constrained Operating-Point Selection for Entity Resolution Under 
Hard-Negative False-Positive Risk (short paper).