Dear all,
due to several requests we decided to extend the deadlines for the
Poster & Demo track.
The new dates are as follows:
Paper Submission Deadline: July 11, 2022 (11:59 pm, Hawaii time
- originally July 4)
Notification of Acceptance: July 22, 2022 (11:59 pm, Hawaii time
originally July 4)
Camera-Ready Paper: August 15, 2022 (11:59 pm, Hawaii time)
SEMANTiCS 2022 especially invites contributions that target the
intersections between computational semantics and neighboring research
areas such as machine learning, language technologies, sensor
technologies, distributed ledgers and beyond.
For details please go to: https://2022-eu.semantics.cc/cfp
Looking forward to your submissions! Stay tuned and stay safe!
Please also pay attention to our early bird registration discounts
available till August 6!
We are looking forward to meet you in Vienna!
With kind regards,
Umutcan Simsek & David Chavez-Fraga
-- P&D Track Chairs --
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours Tuesday, 2022-07-05. Find your local time here
<https://zonestamp.toolforge.org/1657036800>.
To participate, join the video-call via this link [2]. There is no set
agenda - feel free to add your item to the list of topics in the etherpad
[3]. You are welcome to add questions / items to the etherpad in advance,
or when you arrive at the session. Even if you are unable to attend the
session, you can leave a question that we can address asynchronously. If
you do not have a specific agenda item, you are welcome to hang out and
enjoy the conversation. More detailed information (e.g., about how to
attend) can be found here [4].
Through these office hours, we aim to make ourselves available to answer
research related questions that you as Wikimedia volunteer editors,
organizers, affiliates, staff, and researchers face in your projects and
initiatives. Here are some example cases we hope to be able to support you
with:
-
You have a specific research related question that you suspect you
should be able to answer with the publicly available data and you don’t
know how to find an answer for it, or you just need some more help with it.
For example, how can I compute the ratio of anonymous to registered editors
in my wiki?
-
You run into repetitive or very manual work as part of your Wikimedia
contributions and you wish to find out if there are ways to use machines to
improve your workflows. These types of conversations can sometimes be
harder to find an answer for during an office hour. However, discussing
them can help us understand your challenges better and we may find ways to
work with each other to support you in addressing it in the future.
-
You want to learn what the Research team at the Wikimedia Foundation
does and how we can potentially support you. Specifically for affiliates:
if you are interested in building relationships with the academic
institutions in your country, we would love to talk with you and learn
more. We have a series of programs that aim to expand the network of
Wikimedia researchers globally and we would love to collaborate with those
of you interested more closely in this space.
-
You want to talk with us about one of our existing programs [5].
Hope to see many of you,
Emily, on behalf of the WMF Research Team
[1] https://research.wikimedia.org
[2] https://meet.jit.si/WMF-Research-Office-Hours
[3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours
[4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
[5] https://research.wikimedia.org/projects.html
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
The Third Wikidata Workshop
Second Call for Papers
Co-located with the 21st International Conference on Semantic Web (ISWC
2022).
Date: October 23 or 24, 2022
The workshop will be held online, afternoon European time.
Website: https://wikidataworkshop.github.io/2022/
== Important dates ==
Papers due: Friday, 29 July 2022
Notification of accepted papers: Friday, September 23, 2022
Camera-ready papers due: Monday, October 3, 2022
Workshop date: October 23/24, 2022
== Overview ==
Wikidata is an openly available knowledge base, hosted by the Wikimedia
Foundation. It can be accessed and edited by both humans and machines and
acts as a common structured-data repository for several Wikimedia projects,
including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of
applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications
around Wikidata. While there are several dedicated venues for the broader
Wikidata community to meet, none of them focuses on publishing original,
peer-reviewed research. This workshop fills this gap - we hope to provide a
forum to build this fledgling scientific community and promote novel work
and resources that support it.
The workshop primarily seeks original contributions that address the
opportunities and challenges of creating, contributing to, and using a
global, collaborative, open-domain, multilingual knowledge graph such as
Wikidata.
We encourage a range of submissions, including novel research, opinion
pieces, and descriptions of systems and resources, which are naturally
linked to Wikidata and its ecosystem or enabled by it. What we are less
interested in are works that use Wikidata alongside or in lieu of other
resources to carry out some computational task - unless the work feeds back
into the Wikidata ecosystem, for instance by improving or commenting on
some Wikidata aspect, or suggesting new design features, tools, and
practices.
This year, we also added a track for already published work. To foster
conversations around the topic of Wikidata, we invite authors of papers
published at other conferences to submit their papers to present at the
workshop. These will not be included in the proceedings but gives a chance
for authors to interact with the community.
We welcome interdisciplinary work, as well as interesting applications that
shed light on the benefits of Wikidata and discuss areas of improvement.
The workshop is planned as an interactive half-day event, in which most of
the time will be dedicated to discussions and exchange rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. All works will be presented
online.
== Topics ==
Topics of submissions include, but are not limited to:
- Data quality and vandalism detection in Wikidata
- Referencing in Wikidata
- Anomaly, bias, or novelty detection in Wikidata
- Algorithms for aligning Wikidata with other knowledge graphs
- The Semantic Web and Wikidata
- Community interaction in Wikidata
- Multilingual aspects in Wikidata
- Machine learning approaches to improve data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
- Participation, diversity, and inclusivity aspects in the Wikidata
ecosystem
- Human-bot interaction
- Managing knowledge evolution in Wikidata
- Abstract Wikipedia
== Submission guidelines ==
We welcome the following types of contributions.
= Track 1: Novel Works =
The papers in this track will be peer-reviewed by at least three
researchers. Accepted papers will be published as open access papers on
CEUR (authors can also waive this). We invite the following types of papers:
- Full research paper: Novel research contributions (7-12 pages)
- Short research paper: Novel research contributions of smaller scope than
full papers (3-6 pages)
- Position paper: Well-argued ideas and opinion pieces, not yet in the
scope of a research contribution (6-8 pages)
- Resource paper: New dataset or other resources directly relevant to
Wikidata, including the publication of that resource (8-12 pages)
- Demo paper: New system critically enabled by Wikidata (6-8 pages)
Submissions must be as PDF or HTML, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS). For
details on the LNCS style, see Springer’s Author Instructions.
Papers have to be submitted through easychair (Please add “[NOVEL]” in the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022
= Track 2: Published works =
This track welcomes papers previously published at a peer-reviewed research
venue, to be presented and discussed in the workshop. They do not have to
follow the formatting and page limit instructions from Track 1, and can
instead be submitted in the original format.
Previously published papers will be reviewed by the organising committee in
terms of topical fit and prominence of the publication venue. They will not
be published as part of the proceedings. We invite the following types of
papers:
- Full research paper: Previously published research contributions
- Resource paper: Previously published datasets or other resources that are
important or interesting to the community
- Demo paper: Presenting a previously published system critically enabled
by Wikidata
Papers have to be submitted through easychair (please add “[PUBLISHED]” in
the beginning of the title on the submission page so we know that you are
submitting to this track):
https://easychair.org/my/conference?conf=wikidataworkshop2022
== Proceedings ==
The complete set of papers from the Novel Works Track will be published
with the CEUR Workshop Proceedings (CEUR-WS.org).
== Organizing committee ==
Lucie-Aimée Kaffee, University of Copenhagen, lucie.kaffee[[(a)]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de
Kholoud Alghamdi, King's College London, kholoud.alghamdi[[(a)]]kcl.ac.uk
Gabriel Maia Rocha Amaral, King's College London, gabriel.amaral[[@]]
kcl.ac.uk
== Programme committee ==
Seyed Amir Hosseini Beghaeiraveri, Heriot-Watt University
Houcemeddine Turki, Data Engineering and Semantics Research Unit,
University of Sfax, Tunisia
Filip Ilievski, Information Sciences Institute, University of Southern
California, Marina del Rey, CA, USA
Mahir Morshed, University of Illinois at Urbana-Champaign
Daniel Garijo, Universidad Politécnica de Madrdid
Niel Chah, University of Toronto & Microsoft
Alasdair Gray, Heriot Watt University
Thomas Pellissier Tanon, Lexistems
John Samuel, CPE Lyon
Dennis Diefenbach, The QA Company
Heiko Paulheim, University of Mannheim
Cristina Sarasua, University of Zurich
Pavlos Vougiouklis, Huawei
Pierre-Henri Paris, Télécom Paris
Lydia Pintscher, Wikimedia Deutschland
Isaac Johnson, Wikimedia Foundation
Alessandro Piscopo, BCC
Luis Galárraga, Inria
Danai Symeonidou, INRAE
Andrew D. Gordon, Microsoft Research and University of Edinburgh
David Abián, King’s College London
Elisavet Koutsiana, King’s College London
--
Lucie-Aimée Kaffee
Hi all,
The next Research Showcase, *Wikipedia's Languages*, will be live-streamed
Wednesday, June 15, at 4:00 AM PST/11:00 AM UTC. View your local time here
<https://zonestamp.toolforge.org/1655290800>.
YouTube stream: https://www.youtube.com/watch?v=AZQM1dtn3g0
You are welcome to ask questions via YouTube chat or on IRC at
#wikimedia-research.
This month's presentations:
Quantifying knowledge synchronisation in the 21st centuryBy *Jisung Yoon
(Pohang University of Science and Technology)*Humans acquire and accumulate
knowledge through language usage and eagerly exchange their knowledge for
advancement. Although geographical barriers had previously limited
communication, the emergence of information technology has opened new
avenues for knowledge exchange. However, it is unclear which communication
pathway is dominant in the 21st century. Here, we explore the dominant path
of knowledge diffusion in the 21st century using Wikipedia, the largest
communal dataset. We evaluate the similarity of shared knowledge between
population groups, distinguished based on their language usage. When
population groups are more engaged with each other, their knowledge
structure is more similar, where engagement is indicated by socio-economic
connections, such as cultural, linguistic, and historical features.
Moreover, geographical proximity is no longer a critical requirement for
knowledge dissemination. Furthermore, we integrate our data into a
mechanistic model to better understand the underlying mechanism and suggest
that the knowledge "Silk Road" of the 21st century is based online.
The Language Geography of WikipediaBy *Martin Dittus*Every language is a
system of being, doing, knowing, and imagining. With over 7,000 active
languages in the world, how many languages are fully represented online? To
answer this question, digital non-profit Whose Knowledge? initiated the
first ever report on the State of the Internet's Languages. As part of this
report, Martin Dittus and Mark Graham have investigated the languages of
Wikipedia. Wikipedia began with a single English-language edition more than
two decades ago, and now offers more than 300 language editions, which
places it at the forefront of digital language support. However, this does
not mean that speakers of these languages get access to the same content:
Wikipedia’s language editions vary widely in scale. We further find that
this inequality is also reflected in Wikipedia’s geographic coverage: not
all places are captured in every language. Wikipedia's coverage often
follows the global distribution of speakers of the respective language. Yet
even when we account for the distribution of language populations, certain
language communities are much more strongly represented on Wikipedia than
others. As a consequence, we find that for many countries in Africa,
Central and South America, and South Asia, most of the content about those
countries is in a foreign language, often a European-colonial language. In
other words, in many of these places, people may need to be able to speak a
second (possibly foreign) language in order to access Wikipedia information
about their own places. Why do we see these differences? And what can be
done to improve things?
You can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
Emily, on behalf of the Research team
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
WOW2022 Diversity, Diasporas and Digitality: The Worlds of Wikimedia and beyond<https://www.wow2022.net/>. Nov 17-18, University of Sydney, Australia.
Call for papers
The first two decades of the 21st century have brought war, a global pandemic, climate changes and the widespread erosion of culture, as recognised by the United Nations which declared 2022-2032 to be the International Decade of Indigenous Languages<https://en.unesco.org/idil2022-2032>. This conference seeks to investigate the variety of ways that digital media is (or isn’t) meeting these challenges. We invite participants to consider how communities that have been displaced, marginalised or otherwise disadvantaged, may best be served by online platforms and open knowledge movements. We seek submissions that address open knowledge, global diversity, inclusivity and cultural dynamism from a range of perspectives, including digital communication, indigenous knowledge, health communication and Internet studies. We particularly encourage submissions that explore knowledge activism, such as the Wikimedia movement; open platforms, such as Wikipedia; as well as digital methods across different disciplines and fields of knowledge.
Topics may refer to any of the various Wikimedia projects, as well as language and cultural diversity, and could address:
* Internet activism
* Digital diasporas
* Open knowledge
* Indigenous storytelling
* Covid online
* Gender parity
* Cultural resilience
* Decolonizing the Internet
* Digital tools and methods for online diversity and abilities
* Orality and Literacy
* Innovative Case Studies and projects
Please submit abstracts up to 250 words via EasyChair<https://easychair.org/my/conference?conf=wow2022> by June 20, 2022. Acceptance of papers by July 11. A selection of papers will be invited to contribute to a special issue of the journal New Review of Hypermedia and Multimedia.<https://www.tandfonline.com/toc/tham20/current>
Dr Bunty Avieson | Senior Research Fellow | FHEA
Faculty of Arts & Social Sciences, School of Literature, Art and Media | Department of Media & Communications
Rm N225, John Woolley
The University of Sydney | NSW | 2006
T +61 2 8627 0201
bunty.avieson(a)sydney.edu.au<mailto:bunty.avieson@sydney.edu.au> | sydney.edu.au<https://sydney.edu.au/arts/staff/profiles/bunty.avieson.php>
I acknowledge the Gadigal people of the Eora nation as the traditional custodians of the land on which I live and work. Always was, always will be.
CRICOS 00026A
This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited.
If you receive this email in error, please delete it and any attachments.
Please think of our environment and only print this email if necessary.
Hi all,
The registration for Wiki Workshop 2022 [1] is now open. The event is
virtually held on April 25, 12:00-18:30 UTC and as part of The Web
Conference 2022 [2]. The plenary parts of the event will be recorded
and shared publicly afterwards.
Wiki Workshop is the largest Wikimedia research event of the year (so
far;) that the Research team at the Wikimedia Foundation co-organizes
with our Research Fellow, Bob West (EPFL). This year, Srijan Kumar
(Georgia Tech) joined the organizing team as well.:) The event brings
together scholars and researchers from across the world who are
interested in or are actively engaged with research and development on
the Wikimedia projects.
While the details of the schedule are to be finalized and posted in
the coming week, we expect to generally follow the format of 2021 [3].
This year we received research submissions from more than 20 countries
and have accepted 27 research papers whose authors will present the
work as part of the workshop (If you are an author of an accepted
paper: congrats!:) . Our keynote speaker is Larry Lessig [4] and we
will have a panel to reflect on the decade anniversary of SOPA/PIPA,
moderated by Erik Moeller (Freedom of the Press). And of course, all
the music, games, etc. will remain. :)
If you are interested in participating in the live event, please
indicate your interest by filling out [5]. Anyone is encouraged to
register: you don't have to be a researcher. In the registration form,
please explain why attending the live event will support you in your
work on the Wikimedia projects and beyond.
If you have questions, please don't hesitate to reach out.
Best,
Leila
[1] https://wikiworkshop.org/2022/
[2] https://www2022.thewebconf.org/
[3] https://wikiworkshop.org/2021/#schedule
[4] https://hls.harvard.edu/faculty/directory/10519/Lessig
[5] (privacy statement for the Google form survey [6])
https://docs.google.com/forms/d/e/1FAIpQLSctlkUv8FasB2Nc4RvThnxAbjPzUwmnxB2…
[6] https://foundation.wikimedia.org/wiki/Legal:Wiki_Workshop_Registration_Priv…
--
Leila Zia
Head of Research
Wikimedia Foundation
Dear All,
TLDR: We have a new research roadmap for the Addressing Knowledge Gaps
program <https://research.wikimedia.org/knowledge-gaps.html>, with new
guiding principles, three main research directions (identify, measure, and
bridge knowledge gaps), and ideas for future research! You can check our
update <https://meta.wikimedia.org/wiki/Research:Knowledge_Gaps_3_Years_On>
to the original 2019 Knowledge Gaps White Paper
<https://commons.wikimedia.org/wiki/File:Knowledge_Gaps_%E2%80%93_Wikimedia_…>
on Meta (or its pdf version on Commons
<https://commons.wikimedia.org/wiki/File:Address_Knowledge_Gaps_Three_Years_…>),
or our diff blog post
<https://diff.wikimedia.org/2022/04/21/a-new-research-roadmap-for-addressing…>
.
Longer version:
In 2019, the Wikimedia Research team released the Knowledge Gaps White Paper
<https://commons.wikimedia.org/wiki/File:Knowledge_Gaps_%E2%80%93_Wikimedia_…>,
in response to Wikimedia Movement’s 2030 strategic direction. The white
paper included our team’s long-term research plans and priorities for the
Addressing Knowledge Gaps program
<https://research.wikimedia.org/knowledge-gaps.html>. Since 2019, we learnt
and discovered new methods and advancements in our scientific fields, and
developed new models and tools. Today, we share an update
<https://meta.wikimedia.org/wiki/Research:Knowledge_Gaps_3_Years_On> to the
original white paper. With a continued commitment to knowledge equity
<https://meta.wikimedia.org/wiki/Strategy/Wikimedia_movement/2018-20>, the
update reflects on the past, present, and future of knowledge gaps
research, provides a summary of our research findings and contributions,
and revises the roadmap for the next 3-5 years. The update describes three
main developments:
-
A Set of Principles, guiding our research in knowledge gaps: knowledge
equity as our end goal; a research focus beyond Wikipedia; community-driven
research work; machine-in-the-loop frameworks for automated systems;
inclusivity by default; privacy; and openness.
-
A Consolidated Research Roadmap, consisting of three main directions:
-
identify knowledge gaps by understanding readers and contributors,
and systematically defining knowledge gaps and barriers;
-
measure knowledge gaps by generating and visualizing measurements of
inequality in Wikimedia projects;
-
bridge knowledge gaps, by building tools and models that can help
tag, prioritize, and recommend content to be added to Wikimedia projects.
-
Ideas for Future Research: big research questions, spanning a 5 to
10-year horizon, which include: understanding learning, entity
recognition in images, a model for Wikipedia complexity, and studying new
and external forms of knowledge.
For more in-depth information about our revised roadmap, please refer to
the full update
<https://meta.wikimedia.org/wiki/Research:Knowledge_Gaps_3_Years_On> on
Meta (or its pdf version on Commons
<https://commons.wikimedia.org/wiki/File:Address_Knowledge_Gaps_Three_Years_…>),
or our diff blog post
<https://diff.wikimedia.org/2022/04/21/a-new-research-roadmap-for-addressing…>.
Feel free to share suggestions and feedback on the talk
<https://meta.wikimedia.org/wiki/Research_talk:Knowledge_Gaps_3_Years_On>
page.
This updated paper is the result of a collaborative process with Isaac
Johnson, Martin Gerlach and Leila Zia from Research, consisting of many
hours of discussions, 70 pages of notes, and lots of love. We want to thank
the rest of the Wikimedia Research team, our Research Fellow Bob West, our
contractors and collaborators for their input into brainstorming sessions;
Legal, Machine Learning Platform, Traffic, Comms, and Major Gifts teams for
their help in shaping the final document; and everyone
<https://meta.wikimedia.org/wiki/Research:Knowledge_Gaps_3_Years_On#Acknowle…>
who made our Knowledge Gaps research possible throughout the years. Thank
you all!
Best,
Miriam
Hi all,
Join the Research Team at the Wikimedia Foundation [1] for their monthly
Office hours Tuesday, 2022-06-07. Find your local time here
<https://zonestamp.toolforge.org/1654642800>.
To participate, join the video-call via this link [2]. There is no set
agenda - feel free to add your item to the list of topics in the etherpad
[3]. You are welcome to add questions / items to the etherpad in advance,
or when you arrive at the session. Even if you are unable to attend the
session, you can leave a question that we can address asynchronously. If
you do not have a specific agenda item, you are welcome to hang out and
enjoy the conversation. More detailed information (e.g., about how to
attend) can be found here [4].
Through these office hours, we aim to make ourselves available to answer
research related questions that you as Wikimedia volunteer editors,
organizers, affiliates, staff, and researchers face in your projects and
initiatives. Here are some example cases we hope to be able to support you
with:
-
You have a specific research related question that you suspect you
should be able to answer with the publicly available data and you don’t
know how to find an answer for it, or you just need some more help with it.
For example, how can I compute the ratio of anonymous to registered editors
in my wiki?
-
You run into repetitive or very manual work as part of your Wikimedia
contributions and you wish to find out if there are ways to use machines to
improve your workflows. These types of conversations can sometimes be
harder to find an answer for during an office hour. However, discussing
them can help us understand your challenges better and we may find ways to
work with each other to support you in addressing it in the future.
-
You want to learn what the Research team at the Wikimedia Foundation
does and how we can potentially support you. Specifically for affiliates:
if you are interested in building relationships with the academic
institutions in your country, we would love to talk with you and learn
more. We have a series of programs that aim to expand the network of
Wikimedia researchers globally and we would love to collaborate with those
of you interested more closely in this space.
-
You want to talk with us about one of our existing programs [5].
Hope to see many of you,
Emily, on behalf of the WMF Research Team
[1] https://research.wikimedia.org
[2] https://meet.jit.si/WMF-Research-Office-Hours
[3] https://etherpad.wikimedia.org/p/Research-Analytics-Office-hours
[4] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours
[5] https://research.wikimedia.org/projects.html
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
Hi all,
I’m writing to ask for your help in assessing the quality of a Wikipedia
citation recommendation system created by a research collaboration between
Meta AI, University of Mannheim, University College of London, École
normale supérieure and Inria, with the help of the Wikimedia Research team.
In particular, you can access some citation recommendations using the
following link https://verifier.sideeditor.com and decide which one is more
appropriate for a given claim.
If you think the suggested citation improves the verifiability of Wikipedia
feel free to use the provided information to edit the article.
You can find additional information in the interface, including a link to
all code and models powering the system.
Please don’t hesitate to share feedback and questions.
Thanks a lot,
Fabio