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        <article-title>Preface Wikidata Workshop 2021</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Lucie-Aimee Ka ee</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Simon Razniewski</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Aidan Hogan</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>DCC, Universidad de Chile</institution>
          ,
          <country country="CL">Chile</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Max Planck Institute for Informatics</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>University of Copenhagen</institution>
          ,
          <country country="DK">Denmark</country>
        </aff>
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      <title>-</title>
      <p>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.</p>
      <p>In recent years, we have seen an increase in the number of scienti c
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 eld. 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 nonpro ts.</p>
      <p>This was the second instalment of the Wikidata Workshop co-located with
the International Semantic Web Conference (ISWC) 2021. 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.</p>
      <p>The Wikidata Workshop 2021 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 in uence 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 scienti c eld 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 13 research papers from
15 submissions, which are published in this proceedings. We are excited to have
two keynote speakers: Erica Azzellini, Wiki Movimento Brasil, and Andrew Lih,
Smithsonian Institution and Metropolitan Museum of Arts.
Organising Committee
• Lucie-Aimee Ka ee, University of Southampton
• Simon Razniewski, Max Planck Institute for Informatics
• Aidan Hogan, Universidad de Chile
Programme Committee
• Miriam Redi, Wikimedia Foundation
• John Samuel, CPE Lyon
• Dennis Diefenbach, University Jean Monet
• Lydia Pintscher, Wikimedia Deutschland
• Edgar Meij, Bloomberg L.P.
• Thomas Pellissier Tanon, Lexistems
• Hiba Arnaout, MPI for Informatics
• Fabian Suchanek, Telecom ParisTech
• Fariz Darari, University of Indonesia
• Filip Ilievski, ISI
• Marco Ponza, Bloomberg L.P.
• Cristina Sarasua, University of Zurich
• Pavlos Vougiouklis, Huawei Technologies, Edinburgh
• Finn Arup Nielsen, Technical University of Denmark
• Andrew D. Gordon, Microsoft Research &amp; University of Edinburgh
• Michael Luggen, Fribourg University
• Shrestha Ghosh, MPI for Informatics
• Daniel Garijo, ISI
• Gong Cheng, Nanjing University
• Anastasia Dimou, Gent University
• Sebastian Ferrada, Universidad de Chile</p>
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