As you may know, the WikidataCon 2021 will take place online on October
29-31, and its program is built in two parts:
- on Day 1, *the main track
that will deliver plenty of curated presentations and keynotes from diverse
and interesting speakers, available to everyone in livestream ;
- on Day 2 and 3, *the community tracks
ten thematic tracks that will allow the registered participants to dive
deeper into multiple topics, share knowledge, present the latest updates of
their projects, run discussions and workshops related to sustainability,
GLAM, education and science, Wikibase, and plenty of other topics.
The call for proposals for the community program is still running and will
be open until October 20th midnight. However, as we are building a dynamic
schedule, we can already present you the *first beta version of the
This schedule is presenting the sessions that have already been submitted
and accepted by the community curators, and confirmed by the speakers. The
exact times and duration of the sessions may still evolve until the week of
the conference, depending on the new submissions we receive.
If you would like to contribute to the community program, if you have ideas
or suggestions, don’t hesitate to *submit sessions
<https://pretalx.com/wdcon21/submit/> as soon as possible and before
October 20th*, to make sure that we can include them in the program!
We will keep releasing beta versions of the schedule and its content will
still be very flexible until October 26th.
As a reminder, you can also book a slot for the birthday presents lightning
talks <https://www.wikidata.org/wiki/Wikidata:Ninth_Birthday> and if you
didn’t register for the WikidataCon yet, you can do it in 5 minutes here
Thanks for reading this update! You can find out more about the WikidataCon
on this page <https://www.wikidata.org/wiki/Wikidata:WikidataCon_2021>, and
read the previous updates above. If you have any questions or suggestions,
feel free to reach out to us by leaving a comment on the talk page
or contacting info[image: at]wikidatacon.org.
For the WikidataCon organization team,
Community Engagement Coordinator
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
The Wikipedia & Education User Group invites you to attend our next Open
Meeting via Zoom on Wednesday, October 13, from 4 pm UTC to 5:30 pm UTC
(see your time zone here: https://zonestamp.toolforge.org/1634140801).
As usual for our Open Meetings, we will provide updates from the Wikipedia
& Education User Group board, then leave most of the time for our guest
Our guest speakers this month will be Amanda Rust and Amy Ruskin, who will
speak on their work with Wikidata in an educational library setting, and
Thomas Shafee, who will discuss the WikiJournals and their bridging of the
Our speakers' biographies:
* Amanda Rust is the Associate Director for Services in the Digital
Scholarship Group in the Northeastern University Library. She’ll speak
about how Wikidata fits into an initiative to collaboratively document
neighborhood public art data in Boston. By focusing on public art outside
of more well-known downtown areas, this initiative hopes to highlight the
history of art and artists in historically marginalized neighborhoods.
* Amy Ruskin is the Data Engineer in the Digital Scholarship Group in the
Northeastern University Library. She will discuss the process of setting up
the Boston neighborhood public art project in Wikidata, including
determining data models and creating a WikiProject page.
* Thomas Shafee is an evolutionary biochemist and data scientist based at
La Trobe Uni in Australia. He'll talk on the work he does on bridging the
Wikipedia-academia divide by forming compatible interfaces between the ways
the two communities operate. As part of this, he chairs the WikiJournal
User Group, and is Editor in Chief of the WikiJournal of Science and an
editor for PLOS Genetics. Through these, non-Wikimedian scholars can write
new high-accuracy Wikipedia pages, and existing Wikipedia pages are put
through external peer review.
We hope you can join us!
The meeting will be hosted via this link:
Meeting ID: 813 7122 3837
If you would like to be added to the Google Calendar invite, please send me
an email offlist.
It’s time for our third edition of the Coolest Tool Award!
Tools play an essential role at Wikimedia, and so do the many volunteer
developers who experiment with new ideas, develop & maintain local &
global solutions and enhance the experience for Wikimedia communities.
We’d like to invite you all to nominate your favorite & most used tools
and help us celebrate the people who create them!
As no one can possibly know all the cool tools out there, we’re looking
for some help and inspiration: please point us to the tools that you
think are great - for any reason you can think of!
Please go to https://meta.wikimedia.org/wiki/Coolest_Tool_Award
to recommend tools by October 27, 2021. You can nominate as many tools
as you want by filling out the form multiple times.
Thank you very much for your ideas & recommendation(s)!
The award is organized & selected by the Coolest Tool Academy 2021. We
plan to recognize the greatest tools in a variety of categories (for
examples, see last year’s categories). The award ceremony will take
place virtually again this year and we will provide more details soon
about the specific logistics and dates.
We will continue to spread the word over the next week, but if you get
the chance, please feel welcome to share this information with others
Andre, for the Coolest Tool Academy 2021
Andre Klapper (he/him) | Bugwrangler / Developer Advocate
The Journal of Web Semantics (JWS) invites submissions for a special
issue on Community-based Knowledge Bases and Knowledge Graphs, edited by
Tim Finin, Sebastian Hellmann, and David Martin. (contact email:
cbkb(a)cs.umbc.edu <mailto:firstname.lastname@example.org>) *Submissions are due by
November 01, 2021.* Please see the JWS post here:
Community-based knowledge bases (KBs) and knowledge graphs (KGs) are
critical to many domains. They contain large amounts of information,
used in applications as diverse as search, question-answering systems,
and conversational agents. They are the backbone of linked open data,
helping connect entities from different datasets. Finally, they create
rich knowledge engineering ecosystems, making significant, empirical
contributions to our understanding of KB/KG science, engineering, and
practices. From here forward, we use "KB" to include both knowledge
bases and knowledge graphs. Also, "KB" and "knowledge" encompass both
ontology/schema and data.
Community-based KBs come in many shapes and sizes, but they tend to
share a number of commonalities:
They are created through the efforts of a group of contributors,
following a set of agreed goals, policies, practices, and quality norms.
They are available under open licenses.
They are central to knowledge-sharing networks bringing together
They serve the needs of a community of users, including, but not
restricted to, their contributor base.
Many draw their content from crowdsourced resources (such as
Examples of community-based KBs include Wikidata, DBpedia, ConceptNet,
GeoNames, FrameNet, and Yago. This special issue will highlight recent
research, challenges, and opportunities in the field of community-based
KBs and the interaction and processes between stakeholders and the KBs.
We welcome papers on a wide variety of topics. Papers that focus on the
participation of a community of contributors are especially encouraged.
Topics of interest
We are looking for studies, frameworks, methods, techniques and tools on
topics such as the following:
The impact of community involvement on characteristics of KBs such
as requirements, design, technology choices, policies, etc. For
example, how are KB characteristics driven by the community and
reflective of the community's needs?
Conversely, the impact of KB characteristics on community
involvement. For example, how do changes in these characteristics
affect the participation and behavior of members of the community?
Organizational challenges and solutions in developing and managing
Technical challenges and solutions in community-based KBs,
concerning a technical area such as:
Representation of knowledge and logical foundations
Reasoning, querying, and constraint-checking
Knowledge preparation (e.g., cleaning, deduplication, alignment,
Maintaining consistency with external sources
Representing and managing metadata (including issues involved in
adding metadata to relation instances)
User interfaces and experience, both for contributing to the KB and
using it, by different user groups.
Implemented metrics and quality tests to guide the community in
improving KG quality and expanding KG coverage.
Achieving and managing knowledge diversity, for instance, in the
form of multilinguality, multi-cultural coverage, multiple points of
view, and a diverse and inclusive contributor base.
Detecting and avoiding malicious, inappropriate, and misleading
content in community-based KBs.
Biases in community-based KBs and their impact on downstream uses of
Community-based KBs in science, medicine, law, government, or other
Handling specialized types of knowledge (such as commonsense,
probabilistic, or linguistic knowledge) in a community setting.
Methods and tools to manage KB evolution, including change
detection, change management, conflict resolution, visualization of
Tools and affordances supporting community or collaborative
activities, including discussions, feedback, decision making, task
Motivations and incentives affecting community participation.
Approaches and metrics for community health, including but not
restricted to community growth or diversity.
Roles and participation profiles in communities building and
Frameworks and approaches to support group decision-making and
Types of Papers
We invite submission of Research, Survey, Ontology, and System papers,
according to the guidelines given at https://www.jws-volumes.com
The Journal of Web Semantics solicits original scientific contributions
of high quality. Following the overall mission of the journal, we
emphasize the publication of papers that combine theories, methods and
experiments from different subject areas in order to deliver innovative
semantic methods and applications. The publication of large-scale
experiments and their analysis is also encouraged to clearly illustrate
scenarios and methods that introduce semantics into existing Web
interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere.
Manuscripts should be prepared for publication in accordance with
instructions given in the JWS guide for authors
The submission and review process will be carried out using Elsevier's
Web-based EM system
<https://www.editorialmanager.com/JOWS/default.aspx>. Please state the
name of the SI in your cover letter and, at the time of submission,
please select “VSI:CBKB” when reaching the Article Type selection.
Upon acceptance of an article, the author(s) will be asked to transfer
copyright of the article to the publisher. This transfer will ensure the
widest possible dissemination of information. Elsevier's liberalpreprint
authors and their institutions to host preprints on their web sites.
Preprints of the articles will be made freely accessible viaJWS First
Final copies of accepted publications will appear in print and at
Elsevier's archival online server.
Submission deadline: November 1, 2021
Author notification: February 7, 2022
Minor revisions due: February 21, 2022
Major revisions due: March 14, 2022
Papers appear on JWS preprint server: May 2, 2022
Publication: Fall or Winter 2022
Tim Finin is the Willard and Lillian Hackerman Chair in Engineering and
a Professor of Computer Science and Electrical Engineering at the
University of Maryland, Baltimore County (UMBC).
Sebastian Hellmann is the head of the “Knowledge Integration and
Language Technologies (KILT)" Competence Center at InfAI, Leipzig. He
also is the executive director and board member of the non-profit
DBpedia Association with over 30 key players
<https://www.dbpedia.org/members/overview/>in the knowledge graph area.
He earned a rank in AMiner’s top 10 of the most influential scholars in
knowledge engineering of the last decade.
David L. Martinis a Research & Development Scientist in Artificial
Intelligence. He has held positions at SRI International, Siri, Inc.,
Apple, Nuance Communications, Samsung Research America, and the
University of California at Santa Cruz. He is a Senior Member of the
Association for the Advancement of Artificial Intelligence, and
currently works as an independent consultant in Silicon Valley, California.