QKG 2026
Quality of Knowledge Graphs 2026

Table of Contents

• Preface
  Summary: There were 15 papers submitted for peer review to this workshop. Out of these, 10 papers were accepted for this volume: 5 regular papers, 1 position paper, and 4 short papers.

Accepted Papers

• Towards Automated FAIR Compliance Diagnosis: Evaluating LLMs on Explanation and Diagnosis Questions 1-19
  Gabriele Tuozzo, Antonio Lieto
• Ranking-Guided Autoregressive Modeling for Multimodal Tabular Anomaly Detection 20-28
  Antonios Georgakopoulos, Paul Groth, Lise Stork
• Position paper: Issues in Logic-based Repairing of Knowledge Graphs 29-41
  Patrick Lambrix, Ying Li
• A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness 42-56
  Maruf Ahmed Mridul, Rohit Kapa, Oshani Seneviratne
• A two-layered Approach to Cope with Recursion in SHACL Repairs 57-65
  Robert David
• An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment 66-83
  Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville
• Context Associations: an Application-Independent Annotation Method for RDF Knowledge Graphs 84-92
  Ruben Dedecker, Ben De Meester, Pieter Colpaert
• Measuring What Matters: User Perceptions of Knowledge Graph Quality Dimensions in Cultural Heritage 93-108
  Maria Angela Pellegrino, Anisa Rula, Lisa Ehrlinger, András Micsik, Blerina Spahiu, Lorena Etcheverry
• Effects of Entailment in SHACL Validation of Closed Shapes 109-124
  Zenon Zacouris, Jin Ke, Maribel Acosta
• A large-scale empirical analysis of FAIR compliance in biomedical KGs using KGHeartBeat and FAIR-Checker 125-136
  Sana Latif