Bots workshop for small wikis, Contact Daniel. Might help with spam.
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Date: Wed, Jun 22, 2022 at 9:54 AM
Subject: Wikidata Digest, Vol 127, Issue 18
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Today's Topics:
1. Re: [Wikitech-l] Re: [Small wiki toolkits] Upcoming bots & scripts
workshop on Thursday, June 30th, 16:00 UTC
(Daniel Zahn)
2. [CfP] The Third Wikidata Workshop: Second Call for Papers
(Lucie Kaffee)
----------------------------------------------------------------------
Message: 1
Date: Tue, 21 Jun 2022 10:12:57 -0700
From: Daniel Zahn <dz...@wikimedia.org>
Subject: [Wikidata] Re: [Wikitech-l] Re: [Small wiki toolkits]
Upcoming bots & scripts workshop on Thursday, June 30th, 16:00 UTC
To: Wikitech-l <wikitec...@lists.wikimedia.org>
Cc: Discussion list for the Wikidata project
<wikid...@lists.wikimedia.org>, Wikimedia Cloud Services general
discussion and support <cl...@lists.wikimedia.org>, Seyram Komla
Sapaty <ssap...@wikimedia.org>
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On Sat, Jun 18, 2022 at 2:54 AM Samuel Klein <meta...@gmail.com> wrote:
> Is there any sort of list of mothballed bots looking for good homes /
maintainers?
I think basically every bot in the list would benefit from (more)
maintainers:
IRC bots:
https://wikitech.wikimedia.org/wiki/Category:Bots
on wiki bots:
https://wikitech.wikimedia.org/wiki/Category:Bot_accounts
And in general bots that work on Gerrit probably need their equivalent
in Gitlab and bots working on IRC might need their equivalent on Slack
(which unfortunately became standard for many but lack both volunteers
and bots).
------------------------------
Message: 2
Date: Wed, 22 Jun 2022 09:52:56 +0200
From: Lucie Kaffee <lucie.kaf...@gmail.com>
Subject: [Wikidata] [CfP] The Third Wikidata Workshop: Second Call for
Papers
To: Discussion list for the Wikidata project
<wikid...@lists.wikimedia.org>, Research into Wikimedia content
and
communities <wiki-researc...@lists.wikimedia.org>
Cc: Simon Razniewski <srazn...@mpi-inf.mpg.de>, "Alghamdi, Kholoud"
<kholoud.algha...@kcl.ac.uk>
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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[[@]]gmail.com
Simon Razniewski, Max Planck Institute for Informatics, srazniew[[@]]
mpi-inf.mpg.de
Kholoud Alghamdi, King's College London, kholoud.alghamdi[[@]]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
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