New Trends in Database and Information Systems ADBIS 2026 Short Papers, Workshops and Doctoral Consortium, Orléans, France, September 28 – October 1, 2026, Proceedings

.- 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).