Knowledge Graph Building Workshop

Co-located with the Extended Semantic Web Conference 2019

Portorož, Slovenia - 3 June 2019

See Call for Papers

KGB Call for Papers

More and more Knowledge Graphs are generated for private, e.g. Siri, Alexa, or public use, e.g. DBpedia, Wikidata. While techniques to automatically generate Knowledge Graph from existing Web objects exist (i.e., scraping Web tables), the majority need extensive resources. Those with limited resources typically generate Knowledge Graphs by transforming the content of their datasets (RDB, CSV, etc). Initially, generating Knowledge Graphs from existing datasets was considered an engineering task, however scientific methods recently emerged. Lately, mapping languages for describing rules to generate knowledge graphs and processors to execute those rules emerged. Addressing the challenges related to Knowledge Graphs generation requires well-founded research, including the investigation of concepts and development of tools and methods for their evaluation. KGB is a full-day workshop on Knowledge Graph generation with a special focus on Mapping Languages. It is co-located with the Extended Semantic Web Conference 2019 (ESWC2019). The main 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-learnt for generating knowledge graphs from academia and industry.


  • Mapping based Knowledge Graph Generation
  • Mapping languages for generating Knowledge Graph from legacy datasets
  • Approaches and techniques on (semi)automatically generate mappings
  • Approaches and techniques on collaborative mappings generation
  • Approaches and techniques on Human in the Loop mappings generation
  • Approaches and techniques on exploiting mappings for query answering
  • Methods and Techniques for Knowledge Graph Generation
  • (Sustainable) workflows for Web scale Knowledge Graph generation & publishing
  • Seamless (distributed) integration/interlinking from heterogeneous data sources
  • Dynamic discovery and retrieval of data for KG generation
  • Quality, Provenance, privacy and trustworthiness of KG generation
  • Knowledge Graph generation and publishing of streaming data at run-time
  • Benchmarks for Knowledge Graphs generation and publishing
  • Tools for Knowledge Graph Generation
  • End User Interfaces (UI) for (collaborative) editing and viewing for Knowledge Graphs building rules and management platforms in general
  • Architectures for Knowledge Graph generation systems
  • 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 ESWC19 HTML guideline.


  • Full research papers (8-12 pages)
  • In Use and Experience papers (8-12 pages)
  • Position papers (6-8 pages)
  • Short research papers (4-6 pages)
  • System/demo papers (4-6 pages)

Review and Publication

Please, share your contribution before the deadline through the OpenReview (link available soon) platform. The accepted contributions will be published as CEUR-WS proceedings and need to be presented by one of the authors at the workshop.



The invited keynote speaker for the first edition of the KGB workshops is Mariano Rodríguez-Muro, Ontologist in the Knowledge Graph Schema team (Google)

Important dates

01 March, 2019

Submission papers

Submit your paper to KGB workshop using the OpenReview platform. You can see the main topics of the Workshop in the Call for Papers

29 March, 2019


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

12 April, 2019

Camera ready

Time to have your paper ready for being published. All the accepted paper will be published in the KGB proceedings using CEUR-WS.

03 June, 2019


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 workshop.


David Chaves-Fraga

PhD Student, OEG - UPM

Anastasia Dimou

Senior Researcher, imec - IDLab (Ghent U.)

Pieter Heyvaert

PhD Student, imec - IDLab (Ghent U.)

Freddy Priyatna

Senior Researcher, OEG - UPM

Juan Sequeda

Capsenta Labs

Program Committee

  • Soren Auer, Technische Informationsbibliothek (TIB)
  • Oscar Corcho, Universidad Politécnica de Madrid
  • Emanuele Della Valle, Politecnico di Milano
  • Aidan Hogan, Universidad de Chile
  • Craig Knoblock, University of Southern California
  • Manolis Koubarakis, National & Kapodistrian University of Athens
  • Frank Michael, Université Côte d'Azur, CNRS, Inria, I3S
  • Claus Stadler, Leipzig University
  • Ruben Verborgh, IDLab, Ghent University – imec
  • Boris Villazón-Terrazas, Arvato
  • Amrapali Zaveri, Maastricht University
  • Antoine Zimmermann, École des Mines de Saint-Étienne
  • Ben De Meester, IDLab, Ghent University – imec
  • Ahmet Soylu, SINTEF/NTNU
  • Dumitru Roman, SINTEF/University of Oslo

How we built the KGB Web Page

Eating our own dog food


Many of the information showed in this Web Page come from the KGB2019 RDF Graph. For generating it, we use the RML suite (YARRRML parser and RML-Mapper) and for querying it, we use the Comunica Framework.

Mappings and CSVs

Using the YARRRML specification, we generate a mapping for building the RDF from the source CSVs. Check the full workflow and see how easy is to generate a Knowledge Graph using mapping languages!