Hi All!
I'm Victor Agroskin, independent researcher and consultant in Semantic
Tech. I'm currently evaluating capabilities of Wikibase for collaboration
work on knowledge graphs.
Can anyone advise me on the following question - is there any way to change
from automatic generation of Qnn and Pnn identifiers to some other naming
scheme - other prefixes, or (ideally) UUID fragment identifiers? Are some
configuration parameters available? Or it will require a code change?
Thank you!
Sincerely,
Victor Agroskin
https://www.linkedin.com/in/vvagr/
*The First Wikidata Workshop*
Co-located with the 19th International Conference on Semantic Web (ISWC
2020).
Date: To be announced (late October, early November)
The workshop will be held online, afternoon European time.
Website: https://wikidataworkshop.github.io/
== Important dates ==
Papers due: August 10, 2020
Notification of accepted papers: September 11, 2020
Camera-ready papers due: September 21, 2020
Workshop date: To be announced (end October/early November)
== 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 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’re less
interested in are works which 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.
We welcome interdisciplinary work, as well as interesting applications
which 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 frontal
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster. We are considering online options
in response to ongoing challenges such as travel restrictions and the
recent Covid-19 pandemic.
== 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
== Submission guidelines ==
We welcome the following types of contributions.
- 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 resource 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.
The papers will be peer-reviewed by at least two researchers. Accepted
papers will be published as open access papers on CEUR (we only publish to
CEUR if the authors agree to have their papers published).
Papers have to be submitted through easychair:
https://easychair.org/conferences/?conf=wikidataworkshop2020
== Proceedings ==
The complete set of papers will be published with the CEUR Workshop
Proceedings (CEUR-WS.org).
== Organizing committee ==
- Lucie-Aimée Kaffee, University of Southampton
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, King’s College London
- Denny Vrandečić, Google AI
== Programme committee ==
- Lydia Pintscher, Wikidata, Wikimedia Deutschland
- Maria-Esther Vidal, TIB Hannover
- Miriam Redi, Wikimedia Foundation
- Edgar Meij, Bloomberg
- Simon Razniewski, Max Planck Institute for Informatics
- Alessandro Piscopo, BBC
- Pavlos Vougiouklis, Huawei Technologies, Edinburgh
- Marco Ponza, University of Pisa
- Markus Krötzsch, Technische Universität Dresden
- Andrew D. Gordon, Microsoft Research & University of Edinburgh
- Cristina Sarasua, University of Zurich
- Aidan Hogan, Universidad de Chile
- Claudia Müller-Birn, FU Berlin
- Finn Årup Nielsen, Technical University of Denmark
--
Lucie-Aimée Kaffee
Hi all
For those of you who use and teach Wikidata you may know Wikidata Tours are
a really great way to learn about aspects of Wikidata, however there are a
small number of tours and until now no clear way to create them. Navino
Evans and myself have created a comprehensive guide on how to create
Wikidata Tours with a space to collaborate with others to build tours and
to suggest tours you'd like to see.
We hope that increasing the number of tours available for new users will be
able to learn how to contribute more easily and add data more consistently
making queries more reliable.
https://www.wikidata.org/wiki/Wikidata:How_to_create_Wikidata_Tours
Please take a look and:
* Suggest tours you would like to see available, this can be anything from
technical aspect of Wikidata, how to create a specific kind of item e.g a
person, museum etc or a specific task e.g add a date of birth.
* Share existing guidance on different aspects of Wikidata that could be
turned into a tour.
• Start writing new tours.
• If you know Javascript you can help transform a tour draft from a page of
text into a working tour.
Thanks very much
Hi all!
I’m Dan Shick ( https://w.wiki/RDs ), the new technical writer at
Wikimedia Deutschland. My goals are to discover, improve, unify and
round out documentation for the Wikibase & Wikidata development team;
my specific duties are defined by my team leadership and the
leadership of both products.
I see a lot of documentation out there, and it needs organizing so
that people of every audience can find the information they’re looking
for. Audiences include volunteers & the community, employees of
Wikimedia Deutschland and independent users of the products, and I see
plenty of overlap between those groups. Perhaps most importantly, if
the documentation someone needs doesn’t exist, I want to see it get
written.
My first task is to collect and improve the Wikibase post-install
documentation. I have a lot of resources already on the table, but of
course I welcome pointers to and feedback on any and all existing
documentation.
You'll find this text on my wiki page as well; if you want to say hi
or have any questions or comments, feel free to shoot me an email or
speak up on my talk page.
Wiki: https://meta.wikimedia.org/wiki/User:Dan_Shick_(WMDE)
Phabricator: https://phabricator.wikimedia.org/p/danshick-wmde/
--
Dan Shick
Technical Writer
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0 (reception)
https://wikimedia.de
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