Sixth International Workshop on Knowledge Graph Construction

Co-located with the ESWC 2025

Portoroz - June 1 or 2, 2025

See Call for Papers

KGC Call for Papers

More and more knowledge graphs (KGs) are constructed for private use, e.g., Google, or public use, e.g., DBpedia, Wikidata. While many solutions were proposed to construct KGs from existing data on the Web, there are still no mature systems to automate the rules definition nor systematic evaluations to compare the performance and resource usage of the different systems independently of the mapping language they use or the way they construct the knowledge graph (materialization or virtualization). Addressing the challenges related to KG construction requires both the investigation of theoretical concepts and the development of systems and methods for their evaluation.

The Knowledge Graph Construction Workshop (KGCW) will continue being the forum for novel techniques, frameworks, architectures, and tools for declarative KGC languages such as RML. The Knowledge Graph Construction challenges focusing on KG generation efficiency have matured after several successful iterations. Now, the community has recognized a need to assess other aspects of KG generation more systematically, such as usability, usefulness, coverage (of techniques, languages, and extensions), and the tradeoffs between various metrics and techniques in production settings.

This edition will focus on these aspects and the assessment thereof, which enables the workshop to collect contributions from a wide range of topics such as the role of generative LLMs in (declarative) KG Generation, automation and planning of KG processes, and the role of human stakeholders in KG processes. The workshop includes a keynote, (research, in-use, experience, position, system) paper presentations, demo jam, and break-out discussions.

Our goal is to provide a venue for scientific discourse, systematic analysis, and rigorous evaluation of languages, techniques, and systems, as well as practical and applied experiences and lessons learned for constructing knowledge graphs from academia and industry. The workshop complements and aligns with the activities of the W3C Community Group on KG construction.

Topics

  • Automation for Knowledge Graph Construction
  • Conversion of data labelling methods into declarative KGC approaches
  • (Semi)automatically generate mappings
  • Explainable automated knowledge graph generation
  • LLMs supporting (declarative) knowledge graph generation
  • Mapping based Knowledge Graph Construction
  • Mapping languages for constructing Knowledge Graph from legacy datasets
  • End User Interfaces (UI) for (collaborative) editing and viewing for Knowledge Graphs building rules and management platforms in general
  • Approaches and techniques on
  • collaborative mappings generation
  • exploiting mappings for query answering
  • Tools for Knowledge Graph Construction
  • Architectures for Knowledge Graph construction systems
  • (Sustainable) workflows for Web scale Knowledge Graph construction & publishing
  • Methods and Techniques for Knowledge Graph Construction
  • Seamless (distributed) integration/interlinking from heterogeneous data sources
  • Dynamic discovery and retrieval of data for KG construction
  • Quality, Provenance, privacy and trustworthiness of Linked Data construction
  • Knowledge Graph construction and publishing of streaming data at run-time
  • Benchmarks for Knowledge Graphs construction and publishing
  • Lessons learnt, In Use and Experience
  • Experience, lessons learnt and best practices for generating and publishing
  • Useability, user experience, user studies
  • Negative results and in-use/applied descriptions

Authors Guideline

Format

Authors can choose the best way to express their work, such as HTML or PDF. However, a CEUR layout must be provided. If your contribution will be in HTML, you can find some available tools in the ESWC25 HTML guideline.

Contributions

  • Full research papers (12-15 pages)
  • 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)

Review and Publication

Please, share your contribution before the deadline through the OpenReview platform. The accepted contributions will be published in the proceedings of the workshop through CEUR-WS. Each accepted paper needs to be presented by one of the authors at the workshop (virtual presentations are not allowed).

Attention, those submitting to the workshop must be aware of OpenReview's moderation policy for newly created profiles:

  • New profiles created without an institutional email will go through a moderation process that can take up to two weeks.
  • New profiles created with an institutional email will be activated automatically.

Challenge

All details regarding the challenge will be ready soon.

Keynote

TBD

Important dates

28 February, 2025

Abstract submission

Submit your abstract (optional but recommended)

14 March, 2025

Submission papers

Submit your paper

15 April, 2025

Notifications

The notification and reviews from our Program Committee will be available.

11 May, 2025

Submission camera ready

Time to have your paper ready for being published. All the accepted paper will be published in the proceedings.

1-2 June, 2025

Event

Keynote, papers presentations, and a lot of discussion. Remember! If your contribution is accepted, it needs to be presented by one of the authors at the event.

Organizers

David Chaves Fraga

Assistant Professor, CiTIUS - USC

Anastasia Dimou

Assistant Professor, KU Leuven

Umutcan Serles

Postdoctoral Researcher, STI Innsbruck

Christophe Debruyne

Assistant Professor, ULiège

Dylan Van Assche

Postdoctoral researcher, imec - IDLab (UGent)

Ioannis Dasoulas

PhD Student, KU Leuven

Program Committee

  • TDB