Research or experimental papers (22 documents )

Agentic Architecture for Data-Centric AutoML

Mattia Matteini, Matteo Magnini, Matteo Francia, Giovanni Ciatto, Andrea Omicini

Core database systems and serialization

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AQUA: Adaptive Query Rewriting Advisor with Schema-Driven Clustering and Contextual Bandits

Soumia Benkrid

Similarity, topic modeling and knowledge graphs

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AstraClean-RAG: Integrating Domain Knowledge and Correction Log for Tabular Data Cleaning

Bingxiang Chen, Toni Taipalus

Data cleaning, semantic discovery and AutoML

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Auditing Eye-Tracking Preprocessing Pipelines Using Intrinsic Data Quality Metrics

Jennifer Landes, Meike Klettke

Integration, auditing, diversification and embeddings

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Balancing Privacy and Utility in Synthetic Genotype Data Generation by Adaptive Optimization

Mohamed Sabri Hafidi, Anton Dignös, Johann Gamper, Ozan Kahramanoğulları

Text, GNNs, privacy and Ethereum analytics

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BPG: Efficient and Scalable Property Graph Serialization

Dominik Tomaszuk

Core database systems and serialization

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Can Data Postdiction Extend to Text? An Experimental Evaluation of Vectorization Strategies

Brian Nixon, Panos Chrysanthis

Text, GNNs, privacy and Ethereum analytics

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Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum

Michał Bartnicki, Jarosław Chudziak

Text, GNNs, privacy and Ethereum analytics

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Conversational Data Management: A Multi-Agent Natural Language Interface for Semantic Data Lakes

Sayed Hoseini, Niels Mittelstädt, Vincent Hermann, Stefan Decker, Christoph Quix

Data cleaning, semantic discovery and AutoML

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Elastic Scheduling of Intermittent Query Processing in a Cluster Environment

Saranya Chandrasekaran, Sudarshan S

Core database systems and serialization

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Embedding generation: Gembed an Open In-Database Extension to Use Them All

Joel Díaz, Alberto Abelló

Integration, auditing, diversification and embeddings

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Energy Plateaus and Privacy Cliffs in Deep - Learning Privacy - Preserving Record Linkage

Alexandros Karakasidis, Chairi Kiourt

Data cleaning, semantic discovery and AutoML

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Expert-Guided Counterfactual Explanations for Credit Risk

Riccardo Benassi, Matteo Paganelli, Gennaro Aloe, Enrico Bagli, Mario Calò Carducci, Pietro Giuffrida, Nicola Lavecchia, Matteo Squadrani, Elvira Maria Rosaria Oliva, Maurizio Vincini, Francesco Guerra

Integration, auditing, diversification and embeddings

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Inclusion Dependency Discovery with Semantic Column Representations

Gregully Willian, Igor L. De Oliveira, Eduardo H. M. Pena

Data cleaning, semantic discovery and AutoML

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Learning Joinable Column Representations via Set Encoding

Hyejin Hong, Kenji Hatano, Kyoung-Sook Kim

Integration, auditing, diversification and embeddings

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Multi-Algorithm GNN Aggregation Pipeline for Information Quality Enhancement

Rihab Ayed, Guilherme Medeiros Machado, Hassan Soubra, Mohand-Said Hacid

Data cleaning, semantic discovery and AutoML

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Personalized SQL Exercise Generation with Large Language Models and Constraint-Based Validation

Barbara Catania, Giovanna Guerrini, Davide Ponzini, Elisa Calza

Text, GNNs, privacy and Ethereum analytics

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PRIDE: Using Pivots to Diversify Similarity Queries in RDBMSs

Anna Lauton, Willian Oliveira, Agma Traina, Caetano Traina Jr.

Integration, auditing, diversification and embeddings

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Similarity Denial Constraints for Detecting Violations in Noisy Data

Leonardo Luciano, Eduardo Pena, Eduardo De Almeida

Data cleaning, semantic discovery and AutoML

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SYCLDB: A Cross-Vendor Heterogeneous Analytical DBMS

Ivan Donchev Kabadzhov, Eugenio Marinelli, Raja Appuswamy

Core database systems and serialization

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VCFIntegrator: Merging VCF Files with Conflict Resolution

Alina Skrylnik, Anton Dignös, Christian Fuchsberger, Giuseppe Tallini, Johann Gamper

Integration, auditing, diversification and embeddings

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Zero-Shot Physics-Consistent Imputation for Spatio-Temporal Sensor Databases

Yanyan Yang, Xiufeng Liu, Ruyu Liu, Nadeem Iftikhar

Text, GNNs, privacy and Ethereum analytics

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Short papers (early findings or visionary) (18 documents )

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

Ondřej Rozinek

Similarity, topic modeling and knowledge graphs

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

Alexandra Gialama, Georgia Koloniari

Knowledge graphs, text-to-SQL and metadata extraction

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

Hadsaw Kakazai, Jyrki Nummenmaa

Knowledge graphs, text-to-SQL and metadata extraction

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Content Learning for Metadata Extraction and Enrichment from Archaeological Diaries

Rajae El-Idrissi, Juba Agoun, Jérôme Darmont, Sabine Loudcher

Knowledge graphs, text-to-SQL and metadata extraction

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Description generation of JSON data for fuzzy joins processing

Alan Petit, Matthew Damigos, Eleftherios Kalogeros, Laurent d'Orazio

Similarity search, truth discovery and anomaly detection

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Efficient Knowledge Graph Evolution through Learning-Guided Exploration

Bochra Kader, Maude Manouvrier, Khalid Belhajjame

Similarity, topic modeling and knowledge graphs

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Efficient Pruning of Range Queries under Fréchet Distance

Paul Walther, Carla Rieger, Martin Werner

Sustainability, privacy workflows and clinical analytics

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

Sami Guembour, Catherine Dominguès, Sabine Ploux

Similarity, topic modeling and knowledge graphs

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Evaluating Accuracy, Calibration, and Efficiency in Zero-Shot Time Series Foundation Models

Panagiotis Michael, Moysis Symeonides, Demetris Trihinas

Similarity, topic modeling and knowledge graphs

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

Alfredo Cuzzocrea, Abderraouf Hafsaoui

Sustainability, privacy workflows and clinical analytics

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Multimodal Survival Analysis on Hierarchical Representation of Clinical Trial Data

Jyotishka Das, Aaron Mamann, Francesca Bugiotti, Paul-Henry Cournède

Sustainability, privacy workflows and clinical analytics

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

Amir Najjar, Riad Mokadem, Jean-Marc Pierson

Sustainability, privacy workflows and clinical analytics

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Schema-Free Truth Discovery via Wasserstein Barycenters

Xiufeng Liu, Ruyu Liu, Nadeem Iftikhar, Yanyan Yang

Similarity search, truth discovery and anomaly detection

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

Henrique Gomes Zanin, André Magalhães, Elaine De Sousa, Cristina Aguiar

Sustainability, privacy workflows and clinical analytics

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SparkADLS: Robust Semi-Supervised Anomaly Detection in Log Series

Nayef Roqaya, Thorsten Papenbrock

Similarity search, truth discovery and anomaly detection

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Towards Natural Language Reasoning and Hybrid Querying over Virtual Knowledge Graphs

Indeewari Balasooriya, Anna Dalla Vecchia, Elisa Quintarelli

Knowledge graphs, text-to-SQL and metadata extraction

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Towards Semantics-Aware Resilience in Composable Data Systems

Frédéric Loulergue, Jolan Philippe

Similarity search, truth discovery and anomaly detection

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

Gabriel Melo, Caetano Traina Junior

Similarity search, truth discovery and anomaly detection

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Demo papers (5 documents )

An Interactive Framework for Data Generation from JSON Schema

Nour ElHouda Ben Ali, Lyes Attouche, Mohamed-Amine Baazizi, Dario Colazzo

Demonstration

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EFaST: An Explainable Framework for Fair Sequential Tasks Assignment

Anna Dalla Vecchia, Sara Migliorini, Elisa Quintarelli, Kostas Stefanidis

Demonstration

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From Polypheny to MATLAB: Benchmarking retrieval speedup on heterogeneous data for the first polystore connector in MATLAB

Fynn Gohlke, Marco Vogt

Demonstration

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

Maximilian Plazotta, Meike Klettke

Demonstration

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

Nadeesha Perera, Jyrki Nummenmaa, Konstantinos Stefanidis, Alli Raittinen

Demos

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