About us

The 6th Wikidata Workshop is a forum for discussing data quality, multilingualism, and collaborative knowledge graph dynamics in Wikidata, with a new focus on the intersection of Wikidata and Generative AI. It brings together researchers and practitioners to explore knowledge augmentation, data curation, reasoning, and the impact of AI on knowledge graphs.

Important Dates

Fri, Jul 24, 2026
Submission deadline

Paper Submission

Research Paper Submission Tracks

Knowledge integration
Data Modeling and Ontologies
Knowledge Graph Construction and Enrichment
Entity Linking and Data Integration
Data Quality and Validation
Evolution of Collaborative Knowledge Graphs
SPARQL Querying and Optimization
Federated Queries and Integration
Tools and APIs
Visualization and Exploration
Datasets and Benchmarking Resources
Applications in Science and Humanities
Industry Use Cases
Open Science Infrastructure
Wikidata and Generative AI
Knowledge Grounding and Fact Verification
Retrieval-Augmented Generation (RAG)
AI Skills, Tools, and MCP Integration
AI Agents and Knowledge Graph Interaction
Bias and Representation
Ethical AI-Assisted Knowledge Curation
Explainability and Transparency
Governance and Community Practices

Call for Papers Description

The workshop features two tracks: Novel Work (peer-reviewed, proceedings in CEUR) and Previously Published Work (curated by committee). We invite full research papers, short research papers, resource papers, in-use papers, and demo papers.

Committee

Organizing Committee

Nicolas Ferranti

Marcelo Machado

Simon Razniewski

Axel Polleres

Markus Krötzsch

Peter F. Patel-Schneider