The Web of Data Quality Workshop
Ensuring high-quality data is critical for the reliability and effectiveness of Artificial Intelligence (AI)-driven decision-making, data integration, and web applications. However, challenges such as accessibility, consistency, and interpretability persist across the Web of Data. The Web of Data Quality workshop brings together researchers and practitioners to discuss standardized assessment methodologies, AI-driven quality monitoring, and stakeholder-centric approaches for improving data reliability.
Authors
- Anisa Rula (ORCID: https://orcid.org/0000-0002-8046-7502)
- Anelia Kurteva (ORCID: https://orcid.org/0000-0003-4512-5969)
- Maria Angela Pellegrino (ORCID: https://orcid.org/0000-0001-8927-5833)
Institutions
- University of Salerno (IT)
- University of Birmingham (GB)
- University of Brescia (IT)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3717573
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00