[DL] [CFP] Workshop on Quality of Knowledge Graphs - ESWC2026

[Anisa Rula]

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ESWC 2026 - 23rd Extended Semantic Web Conference
Dubrovnik, Croatia
Call for Papers for the QKG - Workshop on Quality of Knowledge Graphs
May 10 or 11, 2026https://dataqualityws.github.io/
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This workshop 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.

=Submission details=

* Full research papers (up to 15 pages, excluding references)
* Short research papers (up to 8 pages, excluding references)
* Position papers
* Negative results papers

Papers must comply with the CEUR-WS template. Papers are submitted in
PDF format via the workshop submission page
https://easychair.org/conferences/?conf=qkg2026.

=Important dates=

* Paper submission deadline: *March 3, 2026 (11:59 pm, Hawaii time)*
* Notification of Acceptance: March 31, 2026 (11:59 pm, Hawaii time)
* Camera-ready paper due: April 15, 2026 (11:59 pm, Hawaii time)


=Topics of interest (but are 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

In case you have additional questions concerning the submission
process, please do not hesitate to contact @MariaAngelaPellegrino

We are looking forward to your contribution!

Anisa Rula,
Maria Angela Pellegrino,
Jose Emilio Labra Gayo

Workshop organisers
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