Third International Workshop on Knowledge Graph Construction

Co-located with the ESWC 2022

Crete - 28th May 2022

See Call for Papers

KGC Call for Papers

More and more knowledge graphs are constructed for private use, e.g., Siri, Alexa, or public use, e.g., DBpedia, Wikidata. While techniques to automatically construct KGs from existing Web objects exist (e.g., semantic labeling of Web tables), there is still room for improvement. Initially, constructing KGs from existing datasets was considered an engineering task with some ad-hoc approaches, however, scientific methods with more declarative-oriented techniques have recently emerged. In particular, several mapping languages for describing rules to construct knowledge graphs and processors to execute those rules emerged. Addressing the challenges related to KG construction requires both the investigation of theoretical concepts and the development of tools and methods for their evaluation

KGCW22 has a special focus this time on the automatization of knowledge graph construction methods, analyzing their alignment with previous standard but declarative approaches (i.e., mapping rules).

The workshop includes a keynote and a panel, as well as (research, in-use, experience, position, tools) 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 tools, 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 CG on KG construction.


  • Adjusting semantic data labelling methods into declarative KG construction approaches
  • Conversion of data labelling methods into declarative KGC approaches
  • (Semi)automatically generate mappings
  • Explainable automated 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
  • Negative results and in-use/applied descriptions

Authors Guideline


Authors can choose the best way to express their work, such as HTML or PDF. However, a LNCS-like layout should be provided. If your contribution will be in HTML, you can find some available tools in the ESWC22 HTML guideline.


  • Full research papers (12-15 pages)
  • In Use and Experience papers (12-15 pages)
  • Short research papers (5-8 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.



Important dates

28 February, 2022

Submission papers

Submit your paper

28 March, 2022


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

11 April, 2022

Submission camera ready

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

28 May, 2022


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


Anastasia Dimou

Assistant Professor, KU Leuven

David Chaves Fraga

Senior Researcher, KU Leuven & UPM

Freddy Priyatna

Knowledge Graph Engineer, Olive AI

Juan Sequeda

Principal Scientist,

Pieter Heyvaert

Senior Researcher, imec - IDLab (UGent)

Program Committee

  • Aidan Hogan, Universidad de Chile
  • Ana Iglesias-Molina, Universidad Politécnica de Madrid
  • Antoine Zimmermann, École des Mines de Saint-Étienne
  • Ben De Meester, Ghent University – imec
  • Boris Villazón-Terrazas, Tinámica
  • Dylan Van Assche, Ghent University – imec
  • Edna Ruckhaus, Universidad Politécnica de Madrid
  • Ernesto Jiménez-Ruiz, University of London
  • Femke Ongenae, Ghent University – imec
  • Franck Michel, Université Côte d'Azur
  • François Scharffe, Columbia University
  • Giorgos Flouris, FORTH
  • Giuseppe Futia, Nexa Center
  • Hannes Voigt, Neo4j
  • Heiko Paulheim, University of Mannheim
  • Herminio Garcia Gonzalez, Universidad de Oviedo
  • Jakub Klímek, Charles University
  • Julián Arenas-Guerrero, Universidad Politécnica de Madrid
  • Manolis Koubarakis, National & Kapodistrian University of Athens
  • Maria-Esther Vidal, L3S & TIB
  • Mario Scrocca, CEFRIEL
  • Mauro Dragoni, FBKZ
  • Maxime Lefrancois, École des Mines de Saint-Étienne
  • Miel Vander Sande, Memoo
  • Mohamed Nadjib Mami, Deutsche Post DHL Group
  • Oscar Corcho, Universidad Politécnica de Madrid
  • Pano Maria, Skemu
  • Samaneh Jozashoori, L3S & TIB
  • Semih Salihoglu, University of Waterloo
  • Souripriya Das, Oracle
  • Sven Lieber, Ghent University – imec
  • Umutcan Şimşek, University of Innsbruck
  • Vladimir Alexiev, Ontotext