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Wikidata26: 6th Wikidata Workshop @ ISWC
The Nicolaus Hotel, Bari
Bari, Italy, October 25-26, 2026
Conference websitehttps://wikidataworkshop.github.io/2026/
Submission linkhttps://easychair.org/conferences/?conf=wikidata26
Submission deadlineJuly 24, 2026
Topics: wikidata knowledge graphs semantic web

Wikidata, an open knowledge base maintained by the Wikimedia Foundation, plays a crucial role in structuring data for projects, such as Wikipedia and Wiktionary. Over the years, the Wikidata Workshop has addressed key challenges such as data quality, multilingualism, and collaborative knowledge graph dynamics. For its sixth edition, we expand the scope to include discussions on the intersection of Wikidata and Generative AI, while continuing to explore established topics. We welcome contributions on knowledge augmentation, data curation, reasoning, and the broader impact of generative AI on Wikidata. By bringing together researchers and practitioners, this workshop fosters discussions on the evolving role of knowledge graphs in an AI-driven world.

Submission Guidelines

This workshop will have two tracks: Novel Work, and Previously Published Work. Papers in the Novel Work track will be published as part of the workshop proceedings. The Previously Published Work track is for papers already published in other conferences, giving the community the chance to access and discuss relevant work that has been presented elsewhere as part of the workshop.

  • Novel Work Track : 

    The papers will be single-blind peer-reviewed by at least two researchers. Selected papers will be published in CEUR (unless authors wish to opt out). For the Novel Work track, we will accept papers up to 12 pages (excluding references, contribution of the paper should justify the length of the paper). We invite the following types of papers:

    • Full research paper: Novel research contributions (8-12 pages)

    • Short research paper: Novel research contributions of smaller scope than full papers (3-5 pages)

    • Resource paper: Presenting a new dataset or other resource, includes the publication of that resource (8-12 pages)

    • In-Use paper: Presenting the usage of research concept (6-8 pages)

    • Demo paper: Presenting a system based on research concepts (6-8 pages)

  • Previously Published Work Track : 

    Published papers will be reviewed by the organising committee in terms of topical fit and prominence of the publication venue. They will not be published as part of the proceedings. For the Previously Published Work track, we will accept papers with no page limit, prioritizing instead the importance and relevance of the publication. We invite the following types of papers:

    • Full research paper: Previously published full papers

    • Resource paper: Previously published datasets or other resources that are important or interesting to the community

    • In-Use paper: Presenting a previously published paper on the usage of research concept

    • Demo paper: Presenting a previously published system based on research concepts

List of Topics

Topics of interest include, but are not limited to:

  • Core Wikidata Research
    • Data Modeling and Ontologies: Approaches for schema design, ontology usage, and knowledge modeling in Wikidata.
    • Knowledge Graph Construction and Enrichment: Methods for building, extending, and completing Wikidata knowledge graphs.
    • Entity Linking and Data Integration: Entity resolution, record linkage, and alignment with external datasets.
    • Data Quality and Validation: Techniques for detecting inconsistencies, enforcing constraints, and improving Wikidata reliability.
    • Evolution of Collaborative Knowledge Graphs: Studying maintenance, growth, and evolution of large-scale collaborative knowledge bases.
  • Querying, Access, and Infrastructure
    • SPARQL Querying and Optimization: Advances in query performance, benchmarking, and scalable querying over Wikidata.
    • Federated Queries and Integration: Combining Wikidata with other knowledge graphs and linked data sources.
    • Tools and APIs: Infrastructure, APIs, and developer tools for accessing and processing Wikidata.
    • Visualization and Exploration: Interfaces and systems for exploring and analyzing Wikidata knowledge graphs.
    • Datasets and Benchmarking Resources: Creation of datasets and evaluation benchmarks derived from Wikidata.
  • Wikidata in Applications
    • Applications in Science and Humanities: Wikidata-based applications in research, digital humanities, cultural heritage, and education.
    • Industry Use Cases: Real-world deployments and industrial applications leveraging Wikidata.
    • Knowledge Integration: Integrating Wikidata with heterogeneous data sources and knowledge graphs.
    • Open Science Infrastructure: Supporting open science, scholarly metadata, and open data ecosystems using Wikidata.
  • Wikidata and Artificial Intelligence
    • Wikidata and Generative AI: Integration of Wikidata with large language models and generative AI systems.
    • Knowledge Grounding and Fact Verification: Using Wikidata to improve factual accuracy and reduce hallucinations in AI systems.
    • Retrieval-Augmented Generation (RAG): Leveraging Wikidata in RAG pipelines and knowledge-grounded AI systems.
    • AI Skills, Tools, and MCP Integration: Developing AI skills and integrating Wikidata through protocols such as Model Context Protocol (MCP).
    • AI Agents and Knowledge Graph Interaction: Intelligent agents retrieving, reasoning over, or contributing to Wikidata.
  • Responsible and Trustworthy Knowledge Graphs
    • Bias and Representation: Investigating bias, fairness, and representation in Wikidata.
    • Ethical AI-Assisted Knowledge Curation: Ethical considerations of using AI to generate or curate knowledge graph content.
    • Explainability and Transparency: Using knowledge graphs to improve interpretability of AI systems.
    • Governance and Community Practices: Sustainability, governance, and collaboration in open knowledge communities.

Organizing Committee

  • Nicolas Ferranti
  • Marcelo Machado
  • Simon Razniewski
  • Axel Polleres
  • Markus Krötzsch
  • Peter F. Patel-Schneider

Publication

Wikidata26 proceedings will be published in CEUR Workshop Proceedings.

Template

https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw

We ask authors to declare the track they intend on submitting to. To do so, please add, at the beginning of the "title" field on the submission, either the string "[Novel]", for the Novel Work track, or the string "[Published]", for the Previously Published track.

Be aware of CEUR policies:

(1) A Declaration on Generative AI is mandatory at the end of the paper;

(2) Include the ORCIDs for all the authors.

Venue

The conference will be held in The Nicolaus Hotel, Bari, IT.

Contact

All questions about submissions should be emailed to 6th-wikidata-workshop@googlegroups.com

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