Full research papers
12-15 pages
AI/CORE Unranked
KGCW 2026
Seventh International Workshop on Knowledge Graph Construction@ESWC2026
The Seventh International Workshop on Knowledge Graph Construction (KGCW 2026) is co-located with ESWC 2026 in Dubrovnik, Croatia, and serves as a forum for presenting novel techniques, frameworks, and tools for declarative knowledge graph construction, particularly using languages like RML. The workshop emphasizes systematic evaluation, benchmarking, and practical experiences in KG construction, with a focus on RML compliance, performance metrics (execution time, CPU, memory), and innovative mapping methodologies, including the role of LLMs and human-in-the-loop processes.
Key deadlines
Verified September 9, 2026Abstract registration
June 1, 2026
AoE
Full paper
June 1, 2026
AoE
Workshop timeline
Submission and decisions
Abstract registrationKey deadline
June 1, 2026 · AoE
Full paperKey deadline
June 1, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
In Use and Experience papers
12-15 pages
Short research papers
5-8 pages
Challenge papers
6-8 pages
Position and Vision papers
4-6 pages
System/demo papers
4-6 pages
Abstract from journal papers
2-4 pages
Research areas in scope
01
Knowledge Graph Construction Topics
Automation for Knowledge Graph ConstructionConversion of data labelling methods into declarative KGC approaches(Semi)automatically generate mappingsExplainable automated knowledge graph generationLLMs supporting (declarative) knowledge graph generationMapping based Knowledge Graph ConstructionMapping languages for constructing Knowledge Graph from legacy datasetsEnd User Interfaces (UI) for (collaborative) editing and viewing for Knowledge Graphs building rules and management platforms in generalApproaches and techniques on collaborative mappings generation exploiting mappings for query answeringTools for Knowledge Graph ConstructionArchitectures for Knowledge Graph construction systems(Sustainable) workflows for Web scale Knowledge Graph construction & publishingMethods and Techniques for Knowledge Graph ConstructionSeamless (distributed) integration/interlinking from heterogeneous data sourcesDynamic discovery and retrieval of data for KG constructionQuality, Provenance, privacy and trustworthiness of Linked Data constructionKnowledge Graph construction and publishing of streaming data at run-timeBenchmarks for Knowledge Graphs construction and publishing
02
Experience and Applied Research
Experience, lessons learnt and best practices for generating and publishingUseability, user experience, user studiesNegative results and in-use/applied descriptions
Policies worth checking twice
- Submissions must be made through the OpenReview platform.
- Accepted contributions must be presented in person at the workshop; virtual presentations are not allowed.
- New OpenReview profiles without an institutional email require a moderation process that can take up to two weeks.
- All accepted papers must be formatted according to the CEUR layout.
- For the Challenge, participation requires filling out a form before the deadline; participation without form submission is not possible.
- Challenge participants must submit Docker images executable on Linux for performance evaluation.
- For Track 3 of the Challenge, submissions must evaluate reproducibility, automation, hybrid effort, usability, and starting point metadata.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026