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.