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<pre>
Wikidata Workshop 2022
Lucie-Aimée Kaffee1 , Simon Razniewski2 , Gabriel Amaral3 and
Kholoud Saad Alghamdi3
1
  University of Copenhagen, Denmark
2
  Max Planck Institute for Informatics, Germany
3
  King’s College London, UK



   Wikidata is an open knowledge graph hosted by the Wikimedia Foundation that can be read
and edited by both humans and machines. It acts as the central source of common structured
data used by Wikipedia, Wiktionary, Wikisource, and other projects within Wikimedia. It is
also used in a variety of academic and industrial applications.
   In recent years, we have seen an increase in the number of scientific publications around
Wikidata. While there are a number of venues for the Wikidata community to exchange ideas,
none of them publish original work that directly aims to advance Wikidata as a research field.
We wanted to bridge the gap between these distinct initiatives and give the research-focused
part of the Wikidata community a place to come together, exchange ideas, and present ongoing
work. By doing so we hope to foster collaboration and agree on a shared research agenda by
bringing together and growing a community of researchers from a diverse set of communities
across academia, industry, and nonprofits.
   This was the third installment of the Wikidata Workshop co-located with the International
Semantic Web Conference (ISWC) 2022. The Wikidata Workshop focused on research relevant
to the Wikidata ecosystem, including the knowledge graph itself, its socio-technical context,
and its many uses by developers and applications.
   The Wikidata Workshop 2022 focused on the challenges and opportunities of working on
the collaborative open-domain knowledge graph Wikidata, which is edited by an international
and multilingual community. We sought submissions that studied the influence that such a
knowledge graph has on the web of data, as well as those working on improving the knowledge
graph itself. This workshop brought together those interested in Wikidata from both the
scientific field and industry to discuss trends and topics around this collaborative knowledge
graph. The articles included in this volume went through peer-review; each submission was
reviewed by at least three reviewers. We accepted 16 novel research papers from 18 submissions,
which are published in this proceedings. The workshop also featured 6 already published papers
(out of 8 submissions). We are excited to have two keynote speakers: Lydia Pintscher, Wikimedia
Deutschland, and Tiago Lubiana, University of Sao Paulo.




Preface: Wikidata Workshop (wikidataworkshop.github.io/2022/), at ISWC 2022
$ lucie.kaffee@gmail.com (L. Kaffee); srazniew@mpi-inf.mpg.de (S. Razniewski); gabriel.amaral@kcl.ac.uk
(G. Amaral); kholoud.alghamdi@kcl.ac.uk (K. S. Alghamdi)
                                       © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)
Organising Committee

   • Lucie-Aimée Kaffee, University of Copenhagen
   • Simon Razniewski, Max Planck Institute for Informatics
   • Gabriel Amaral, King’s College London
   • Kholoud Saad Alghamdi, King’s College London

Programme Committee

   • Seyed Amir Hosseini Beghaeiraveri, Heriot-Watt University Niel Chah, University of
     Toronto
   • Houcemeddine Turki, Faculty of Medicine of Sfax
   • David Abián, King’s College London
   • John Samuel, CPE Lyon, LIRIS - UMR 5205
   • Luis Galárraga, Inria
   • Filip Ilievski, Information Sciences Institute, USC
   • Lydia Pintscher, Wikimedia Deutschland
   • Elisavet Koutsiana, King’s College London
   • Pierre-Henri Paris, CNAM
   • Alessandro Piscopo, BBC
   • Mahir Morshed, University of Illinois at Urbana-Champaign
   • Dennis Diefenbach, The QA Company
   • Alasdair Gray, Heriot-Watt University
   • Daniel Garijo, Universidad Politécnica de Madrid
   • Andrew D. Gordon, Microsoft Research and University of Edinburgh
   • Thomas Pellissier Tanon, Télécom ParisTech
   • Cristina Sarasua, University of Zurich
   • Pavlos Vougiouklis, University of Southampton

</pre>