QKG@ESWC 2026

Workshop on Quality of Knowledge Graphs at ESWC 2026


QKG@ESWC 2026


QKG@ESWC 2026 — Evaluating, Improving, and Sustaining Knowledge Graph Quality


QKG@ESWC 2026 focuses on advancing methods, standards, and tools for assessing and improving the quality of Knowledge Graphs and Linked Data. As the Web of Data continues to grow in scale, heterogeneity, and importance for AI systems, ensuring reliable, interoperable, and FAIR data is more critical than ever. The workshop brings together researchers, practitioners, and industry stakeholders to explore quality dimensions, AI-supported evaluation methods, and reusable workflows for building trustworthy, high-quality data ecosystems. QKG combines invited talks, peer-reviewed papers, and an interactive brainstorming session to shape future research directions and community roadmaps.


Call & Important dates

🎯 Topics of Interest

We invite contributions related to, but not limited to:

  • FAIR data and Open Science practices
  • FAIRness and Bias Detection
  • Quality-aware data preparation, curation, and integration
  • Knowledge Graphs Assessment & Refinement
  • Metadata quality, provenance, and traceability
  • Multimodal data quality and AI readiness metrics
  • Domain-specific and general-purpose quality frameworks
  • Explicability & Diagnosis (even via AI-driven approaches) Bias detection and explainability in data quality
  • Industrial perspectives on Web of Data quality

🗓 Important Dates

  • Paper submission deadline: March 3, 2026
  • Notification of acceptance: March 31, 2026
  • Camera-ready submission: April 15, 2026
  • Workshop date: May 10 and 11, ESWC 2026

All deadlines are 23:59 Anywhere on Earth (UTC-12).

📝 Submission Guidelines

We welcome the following types of submissions:

  • Full papers: up to 15 pages (excluding references)
  • Short papers: up to 8 pages (excluding references)
  • Position papers
  • Negative results papers

Submissions…

  • must be written in English
  • must be anonymous
  • must be formatted using the CEUR format
  • should present original research, practical experiences, tools, datasets, or visionary perspectives related to Knowledge Graph and Linked Data quality.

Submission is handled via EasyChair.

All papers will undergo peer review by the Program Committee and will be published in the workshop proceedings.

At least one author of each accepted contribution must register and attend the conference to present.


Program

To be announced in 2026.


Organization

👥 Organizers

Maria Angela Pellegrino Anisa Rula Jose Emilio Labra Gayo
University of Salerno University of Brescia University of Oviedo
Italy Italy Spain

🧑‍💻 Program Committee (Tentative)

  • Aidan Hogan — Universidad de Chile, Chile
  • Anastasia Dimou — KU Leuven, Belgium
  • Andrea Maurino — University of Milano-Bicocca, Italy
  • Axel Polleres — Vienna University of Economics & Business, Austria
  • Blerina Spahiu — University of Milano-Bicocca, Italy
  • Ernesto Jiménez-Ruiz — University of London, UK
  • Heiko Paulheim — University of Mannheim, Germany
  • Jeremy Debattista — Trinity College Dublin, Ireland
  • Marta Sabou — Vrije Universiteit, Austria
  • Mehwish Alam — Institut Polytechnique de Paris, France
  • Paul Groth — University of Amsterdam, Netherlands
  • Gabriele Tuozzo — University of Salerno, Italy
  • Lorena Etcheverry — Universidad de la República, Uruguay
  • Lisa Ehrlinger — University of Potsdam, Germany
  • Hazar Harmouch — University of Amsterdam, Netherlands