Year: 2025
Type: conference-paper
Abstract: 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.
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4410636338
