Accepted Papers

Accepted Full Papers

  • Towards Trace Variant Explainability - Iuliana Grigore (University of Trieste); Gabriel Marques Tavares (LMU Munich and Munich Center for Machine Learning(MCML)); Vincenzo Pasquadibisceglie (University of Bari Aldo Moro); Thomas Seidl (LMU Munich and Munich Center for Machine Learning (MCML)); Sylvio Junior Barbon (University of Trieste)
  • LSBlock: A Hybrid Blocking System Combining Lexical and Semantic Similarity Search for Record Linkage - Dimitrios Karapiperis (International Hellenic University); Christos Tjortjis (International Hellenic University); Vassilios Verykios (Hellenic Open University)
  • Pasteur: Scaling Privacy-aware Data Synthesis - Antheas Kapenekakis (Aalborg University); Daniele Dell'Aglio (Aalborg University); Martin Bøgsted (Aalborg University Hospital); Minos Garofalakis (Athena Research Center); Katja Hose (TU Wien)
  • Independence Rules: Analysis of Nine Simple Cardinality Estimators and Their Impact on Plan Quality - Daniel Flachs (University of Mannheim); Guido Moerkotte (University of Mannheim)
  • Bitemporal Property Graphs: dealing with both valid and transaction time - Luca Anselma (Università di Torino); Marco Ballerini (Università di Torino); Paolo Giordano (Università di Torino); Erica Raina (Università del Piemonte Orientale "Amedeo Avogadro"); Paolo Terenziani (Università del Piemonte Orientale "Amedeo Avogadro")
  • Responsible AI: Training deep learning model efficiently - Shwetha Salimath (Laboratoire Interdisciplinaire des Sciences du Numérique (LISN)); Francesca Bugiotti (CentraleSupelec); Sylvain Wlodarczyk (SLB)
  • Generating Semantically Enriched Mobility Data from Travel Diaries - Maja Schneider (University of Leipzig & ScaDS.AI); Charini Nanayakkara (School of Computing, The Australian National University, Canberra); Matthias Mohn (University of Leipzig & ScaDS.AI); Peter Christen (School of Computing, The Australian National University, Canberra); Erhard Rahm (University of Leipzig & ScaDS.AI)
  • Vector Database Benchmarking: A Face Retrieval Use Case - Teodor Sakal Francišković (Faculty of Technical Science, University of Novi Sad); Nikola Todorović (Faculty of Technical Science, University of Novi Sad); Jelena Hrnjak (Faculty of Technical Science, University of Novi Sad); Vladimir Dimitrieski (Faculty of Technical Science, University of Novi Sad)
  • Designing Efficient and Scalable Substructure Discovery Algorithms for Multilayer Networks - Arshdeep Singh (The Department of Computer Science and Engineering, University of Texas at Arlington); Abhishek Santra (The Department of Computer Science and Engineering, University of Texas at Arlington); Sharma Chakravarthy (The Department of Computer Science and Engineering, University of Texas at Arlington)
  • Exploring local feature influences with Hierarchical Explanation Trees - Emmanuel Doumard (Université de Tours); Julien Aligon (Université Toulouse Capitole); Paul Monsarrat (Université Toulouse 3 Paul Sabatier); Nicolas Labroche (Université de Tours); Alexandre Chanson (Université de Tours)
  • Evaluating Quality of Disparate Data Sources: A Discord-Driven Approach - Yeasmin Akter (Universitat Politècnica de Catalunya); Alberto Abelló (Universitat Politècnica de Catalunya); Petar Jovanovic (Universitat Politècnica de Catalunya); Tomer Sagi (Aalborg University); Katja Hose (Technische Universität Wien)
  • Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type Annotation - Keti Korini (University of Mannheim); Christian Bizer (University of Mannheim)
  • PUL: Pre-load in Software for Caches Wouldn't Always Play Along - Arthur Bernhardt (Reutlingen University); Sajjad Tamimi (TU Darmstadt); Florian Stock (TU Darmstadt); Andreas Koch (TU Darmstadt); Ilia Petrov (Reutlingen University)
  • Learning a Distance for the Stratification of Patients with Amyotrophic Lateral Sclerosis - Guillaume Tejedor Y Dominguez (LIFAT); Veronika Peralta (LIFAT); Nicolas Labroche (LIFAT); Patrick Marcel (LIFO); Hélène Blasco (CHRU de Tours); Hugo Alarcan (CHRU de Tours)

Accepted Short Papers

  • From ER Conceptual Models to Document-based NoSQL Logical Models - Alberto Belussi (University of Verona); Sara Migliorini (University of Verona)
  • Extending the Applicability of Bloom Filters by Relaxing their Parameter Constraints - Paul Walther (Technical University of Munich); Wejdene Mansour (Technical University of Munich); Johann Maximilian Zollner (Technical University of Munich); Martin Werner (Technical University of Munich)
  • Extension of Data Catalog Vocabulary for federating open datasets in data spaces - Adriana Morejón (University of Alicante); Lucía de Espona (University of Alicante); Alberto Berenguer (University of Alicante); David Tomás (University of Alicante); Jose-Norberto Mazón (University of Alicante)
  • Accelerating Entity Resolution through Vectorized Meta-Blocking on GPUs - Nikolaos Stamatopoulos (Athena RC); Vassilis Stamatopoulos (Athena RC); Giorgos Alexiou (Athena RC); Giorgos Giannopoulos (Athena RC); George Papastefanatos (Athena RC)
  • Decentralized research data sharing management using blockchain technology - Otto Hylli (Tampere University); Kari Systä (Tampere University); David Hästbacka (Tampere University)
  • Experiversum: An Integrated Ecosystem for Curating and Enhancing Data-Driven Experimental Science - Genoveva Vargas-Solar (CNRS LIRIS); Umberto Costa (Federal University of Rio Grande do Norte); Jérôme Darmont (University Lumières Lyon 2); Javier-Alfonso Espinosa-Oviedo (University Claude Bernard Lyon 1); Carmem Seite Hara (Federal University of Paranà); Sabine Loudcher (University Lumières Lyon 2); Regina Motz (Universidad de la República); Martin A. Musicante (Federal University Rio Grande do Norte); José-Luis Zechinelli-Martini (Fundación Universidad de las Américas Puebla)
  • iSearch: Seek acceleration through interpolation in Smart Storage Settings - Christian Knoedler (Reutlingen University); Arthur Bernhardt (Reutlingen University); Naeem Ramzan (University of the West of Scotland); Ilia Petrov (Reutlingen University)
  • Data Governance Maturity Models: A Systematic Review and a Multi-Dimensional Framework Proposal - Luis Filipe Campos Cardoso (Universidade de Brasília); Edna Dias Canedo (Universidade de Brasília)
  • Could More be Less: The Case of Location(s) Awareness in Time Series Prediction - Bala Sai Sathwick Reddy Mora (Iowa State University); Goce Trajcevski (Iowa State University)
  • An Evaluation of Energy Consumption for Deep Learning-based Privacy Preserving Record Linkage - Emmanouil Sokorelis (University of Macedonia); Alexandros Karakasidis (University of Macedonia); Eftychios Protopapadakis (University of Macedonia); Chairi Kiourt (Athena RC)
  • Leveraging Generative AI and Frequent Errors to Enhance SQL Learning - Davide Ponzini (University of Genoa); Barbara Catania (University of Genoa); Giovanna Guerrini (University of Genoa)
  • Validating Data Provenance Polynomials - Paulo Pintor (Universidade de Aveiro); Rogério Costa (CIIC - ESTG Leiria); José Moreira (Universidade de Aveiro)
  • Querying Property Graphs with XPath - Marko Junkkari (Tampere University); Sami-Santeri Svensk (Tampere University); Jyrki Nummenmaa (Tampere University)
  • Spatio-Temporal Data and Molecular Dynamics: Challenges and Opportunities (Vision Paper) - Goce Trajcevski (Iowa State University); Ashfaq Khokhar (Iowa State University); Sohail Murad (Illinois Institute of Technology); Cynthia Jameson (University of Illinois at Chicago)

Accepted Demos

  • GESONGEN: An Interface for Generating and Visualizing Geosocial Networks - Julius Hoffmann (Johannes Gutenberg University Mainz); Panagiotis Bouros (Johannes Gutenberg University Mainz); Theodoros Chondrogiannis (Norwegian University of Science and Technology)
  • TimeVizBench: An Interactive Platform for Evaluating Techniques for Efficient Large Time Series Visualization - Vassilis Stamatopoulos (Athena Research Center); Stavros Maroulis (ATHENA Research Center); Christos Pantoleon (Athens University of Economics and Business); George Papastefanatos (ATHENA Research Center); Panos Vassiliadis (University of Ioannina)
  • CoDD: A Constraint-based Dataset Discovery Tool for Open Data Lakes - Tim Otto (RPTU Kaiserslautern-Landau); Christopher Rawald (RPTU Kaiserslautern-Landau); Stefan Deßloch (RPTU Kaiserslautern-Landau)