=Paper=
{{Paper
|id=Vol-2773/xpreface
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2773/Preface_Wikidata_Workshop.pdf
|volume=Vol-2773
}}
==None==
https://ceur-ws.org/Vol-2773/Preface_Wikidata_Workshop.pdf
Preface
Wikidata Workshop 2020
Lucie-Aimée Kaffee1 , Oana Tifrea-Marciuska2 , Elena Simperl3 , and Denny
Vrandečić4
1
University of Southampton, UK,[0000−0002−1514−8505]
kaffee@soton.ac.uk,
2
Bloomberg, UK
3
Kings College London, UK,[0000−0003−1722−947X]
4
Wikimedia Foundation, USA,[0000−0002−9593−2294]
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 publi-
cations 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 Wiki-
data 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 re-
search agenda by bringing together and growing a community of researchers
from a diverse set of communities across academia, industry, and nonprofits.
This was the first instalment of the Wikidata Workshop co-located with the
International Semantic Web Conference (ISWC) 2020. 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 2020 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 submis-
sion was reviewed by at least two reviewers. We accepted 13 research papers
from 18 submissions, of which 11 are published in this proceedings. We are ex-
cited to have two keynote speakers: Lydia Pintscher, Wikimedia Deutschland
and product manager of Wikidata, and Dr. Katherine Thornton, Yale Univer-
sity Library, as well as a panel discussion entitled “Is Wikidata heading in the
right direction?”.
Organising Committee
– Lucie-Aimée Kaffee, University of Southampton, UK
– Oana Tifrea-Marciuska, Bloomberg, UK
– Elena Simperl, King’s College London, UK
– Denny Vrandečić, Wikimedia Foundation, USA
Programme Committee
– Dan Brickley, Google
– Andrew D. Gordon, Microsoft Research & University of Edinburgh
– Dennis Diefenbach, University Jean Monet
– Aidan Hogan, Universidad de Chile
– Markus Krötzsch, Technische Universität Dresden
– Edgar Meij, Bloomberg
– Claudia Müller-Birn, FU Berlin
– Finn Årup Nielsen, Technical University of Denmark
– Thomas Pellissier Tanon, Télécom ParisTech
– Lydia Pintscher, Wikidata, Wikimedia Deutschland
– Alessandro Piscopo, BBC
– Marco Ponza, Bloomberg
– Simon Razniewski, Max Planck Institute for Informatics
– Miriam Redi, Wikimedia Foundation
– Cristina Sarasua, University of Zurich
– Maria-Esther Vidal, TIB Hannover
– Pavlos Vougiouklis, Huawei Technologies, Edinburgh
– Zainan Victor Zhou, Google