Web of Data Quality

Web of Data Quality at The Web Conference 2025

Web of Data Quality


Web of Data Quality Workshop


Web of Data Quality Workshop aims to foster an in-depth discussion to address Web of Data quality issues, fostering dialogue on the establishment of standardized processes, development of accessible tools, implementation of reusable best practices and workflows working across various domains. By bringing together academia, industry professionals, and practitioners, we aim to cultivate practical strategies and tools that can strengthen data pipelines across various domains, ensuring that data quality is prioritized, reproducible, and effective in driving reliable outcomes. Contributions in this direction will affect any data-driven pipeline dealing with machine readable data.

Call & Important Dates

🎯 Topics of Interest

  • Web of Data Quality Assessment at Both Metadata and Data Levels
  • Standardized, Reusable, and Tailored Approaches for Quality Assessment and Improvement
  • Interplay and Alignment Among Different Standards for Data Quality
  • Artificial Intelligence-Driven Approaches for Web of Data Quality Assessment and Improvement
  • Impact of Data Quality on Governance of Responsible Artificial Intelligence
  • Temporal Variability of Data Quality and Its Implications
  • Data Quality Assessment and Improvement as Part of Complex Data Management Pipelines
  • Alignment Between Intrinsic Quality Dimensions and "Fit for Use" Requirements
  • Interplay and Correlation Among Different Quality Dimensions and Influencing Factors
🗓 Important Dates

  • 18 December, 2024 8 January, 2025 — Paper submission deadline
  • 13 January, 2025 27 January, 2025 — Notification of Acceptance
  • 2 February, 2025 — Camera-ready paper due
  • April 28th, 2025 (1:30–5:00 PM, Sydney time) — Workshop Day

Program

StartSpeakerTalk TitlePresentation
13:30Maria Angela PellegrinoWorkshop OpeningSlides
13:35Gianluca DemartiniBias in Data AnnotationsSlides
14:20Oshani SeneviratneExplainability-Driven Quality AssessmentSlides
14:35Shima EsfandiariEnhancing Data Quality by Identifying Influential NodesVideo
14:45Yuhao GongAdaptive Confidence-aware Reinforcement LearningVideo
15:00BREAK
15:30Kerry TaylorDoes Data Quality Even Matter?Slides
16:15Gabriele TuozzoNavigating the LOD SubcloudsSlides
16:30Elyas MeguellatiAre Large Language Models Good Data Preprocessors?Slides
16:45Maria Angela PellegrinoClosing Ceremony

Organization

Organizers

Advisory Board

Program Committee

  • Aidan Hogan — Universidad de Chile
  • Ernesto Jiménez-Ruiz — University of London
  • Gabriele Tuozzo — University of Salerno
  • Heiko Paulheim — Universität Mannheim
  • Paul Groth — University of Amsterdam