Scaling Trust: Veracity-Driven Defect Detection in Entity Search

Veracity is a critical dimension of data quality that directly impacts a wide range of tasks. In entity search scenarios, Knowledge Graphs (KGs) such as DBpedia and Wikidata serve as core resources for accessing factual content. The veracity of these KGs is therefore essential for ensuring the reliability and trustworthiness of retrieved entities -- factors that directly influence user confidence in the search system. However, ensuring the truthfulness of entities remains a major challenge due to the complexities associated with the scale, development, and maintenance of KGs.

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Published
2025-11-08
DOI
https://doi.org/10.1145/3746252.3761208
Primary Topic
Advanced Graph Neural Networks
Type
article
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Scaling Trust: Veracity-Driven Defect Detection in Entity Search

Stefano Marchesin, Ornella Irrera, Omar Alonso, Gianmaria Silvello
Advanced Graph Neural Networks
article

Scaling Trust: Veracity-Driven Defect Detection in Entity Search

Stefano Marchesin, Ornella Irrera, Omar Alonso, Gianmaria Silvello
article en

Abstract

Veracity is a critical dimension of data quality that directly impacts a wide range of tasks. In entity search scenarios, Knowledge Graphs (KGs) such as DBpedia and Wikidata serve as core resources for accessing factual content. The veracity of these KGs is therefore essential for ensuring the reliability and trustworthiness of retrieved entities -- factors that directly influence user confidence in the search system. However, ensuring the truthfulness of entities remains a major challenge due to the complexities associated with the scale, development, and maintenance of KGs.

Amazon (United States) (US), University of Padua (IT)
Openalex Percentile: Top 82%
Advanced Graph Neural Networks
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