Second International Workshop on Knowledge Graph Construction

Co-located with the ESWC 2021

Online or Hersonissos, Greece - 6 June 2021

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., scraping 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.

KGC has a special focus this time on knowledge graph construction methods that involve or analyze the roles of users in these processes.

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.


  • 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
  • (semi)automatically generate mappings
  • 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 ESWC21 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.


Schedule (CET TIMES) - Author Guideline

Session 1 (11:00 - 12:45): Experiences in Knowledge Graph Construction

  • Welcome to the 2nd Edition of the KGC Workshop. Slides
  • Experiences of Using WDumper to Create Topical Subsets from Wikidata. Seyed Amir Hosseini Beghaeiraveri, Alasdair Gray, Fiona McNeill. Paper - Slides - Video
  • Knowledge Graph Construction with R2RML and RML: An ETL System-Based Overview. Julián Arenas-Guerrero, Mario Scrocca, Ana Iglesias-Molina, Jhon Toledo, Luis Pozo-Gilo, Daniel Doña, Oscar Corcho, David Chaves-Fraga. Paper - Slides - Video
  • Knowledge Graph Lifecycle: Building and maintaining Knowledge Graphs. Umutcan Şimşek, Kevin Angele, Elias Kärle, Juliette Opdenplatz, Dennis Sommer, Jürgen Umbrich, Dieter Fensel. Paper - Slides - Video
  • Collaborative-AI Knowledge Graph Generation: Taxonomization of IATE, the EU Terminology. Alena Vasilevich, Michael Wetzel, Stelios Mathioulakis, Jochen Hummel. Paper - Slides - Video
  • Wrap up

15 minutes - lunch preparation break

Session 2 (13:00 - 14:30): Mapping Languages Challenges

  • Introduction to the KG-Construction W3C Community Group. Slides
  • Mapping Spreadsheets to RDF: Supporting Excel in RML. Markus Schröder, Christian Jilek, Andreas Dengel. Paper - Slides - Video
  • A ShExML perspective on mapping challenges: already solved ones, language modifications and future required actions. Herminio García-González. Paper - Slides - Video
  • Integrating nested data into knowledge graphs with RML fields. Thomas Delva, Dylan Van Assche, Pieter Heyvaert, Ben De Meester, Anastasia Dimou. Paper - Slides - Video
  • Discussions on next steps with the CG & wrap up. Video

15 minutes - Spanish/Greek lunch preparation break

Session 3 (14:45 - 16:45): Methodology users and Keynote

  • Intro to the keynote speaker
  • Keynote: Jesús Barrasa from Neo4J. "Knowledge graphs 2021: The great convergence". Slides - Video
  • Stratified Data Integration. Fausto Giunchiglia, Alessio Zamboni, Mayukh Bagchi, Simone Bocca. Paper - Slides - Video
  • Everything for the users, nothing by the users: Lessons learnt from an heterogeneous data mapping languages user study. Herminio García-González. Paper - Slides - Video
  • Discussion on users/methodologies. Video

15 minutes - coffee preparation break

Session 4 (17:00 - 18:30): Machine Learning Approaches for KGC

  • Introduction to the session
  • Open Drug Knowledge Graph. Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha Aastha, Basel Shbita. Paper - Slides - Video
  • Demo: Knowledge Graph-Based Housing Market Analysis. Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita. Paper - Slides - Video
  • JenTab: A Toolkit for Semantic Table Annotations. Nora Abdelmageed, Sirko Schindler. Paper - Slides - Video
  • Embedding-Assisted Entity Resolution for Knowledge Graphs. Daniel Obraczka, Jonathan Schuchart, Erhard Rahm. Paper - Slides - Video
  • Panel with ML experts on KG Construction. Panelists: Heiko Paulheim, Ernesto Jiménez-Ruiz, Francesco Osborne, and Maria-Esther Vidal Video
  • Wrap up of the session & closing words

beers/tapas/wine/cocktails preparation break

Session 5 (19:15): Workshop drinks! (Expected to use Gather)


The invited keynote speaker for the second edition of the KGC workshops is Jesus Barrasa, head of the EMEA Sales Engineering team at Neo4j and leader of the Neosemantics project, part of Neo4j labs

Machine Learning for KGC Panel

The experts that participate in the panel are:

  • Heiko Paulheim from University of Mannheim
  • Ernesto Jiménez-Ruiz from City, University of London
  • Francesco Osborne from KMI - The Open University
  • Maria-Esther Vidal from TIB & L3S

Important dates

10 March, 2021

Submission papers

Submit your paper

23 April, 2021


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

30 April, 2021

Submission camera ready

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

6 June, 2021


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

Senior Researcher, imec - IDLab (UGent)

David Chaves Fraga

PhD Student, OEG - 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
  • Craig Knoblock, University of Southern California
  • Dylan Van Assche, Ghent University – imec
  • Edna Ruckhaus, Universidad Politécnica de Madrid
  • Femke Ongenae, Ghent University – imec
  • Francesco Osborne, The Open University
  • Franck Michel, Université Côte d'Azur
  • François Scharffe, Columbia University
  • George Fletcher, TU Eindhoven
  • Giorgos Flouris, FORTH
  • Giuseppe Futia, Nexa Center
  • Guohui Xiao, Ontopic
  • Hajira Jabeen, Bonn University
  • Hannes Voigt, Neo4j
  • Heiko Paulheim, University of Mannheim
  • Herminio Garcia Gonzalez, Universidad de Oviedo
  • Jakub Klímek, Charles University
  • Josh Shinavier, Uber
  • Julián Arenas-Guerrero, Universidad Politécnica de Madrid
  • Kemele M. Endris, L3S & TIB
  • Manolis Koubarakis, National & Kapodistrian University of Athens
  • Maria-Esther Vidal, L3S & TIB
  • Mariano Rodríguez-Muro, Google
  • 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
  • Victor Lee, Tigergraph
  • Vladimir Alexiev, Ontotext