Hi Everyone,
On behalf of the 2022 Wikimedia Hackathon Committee, we would like to thank
you for coming to the Wikimedia Hackathon!
Please consider giving us feedback on the Hackathon and your suggestions
for improvement.
There are two ways to give feedback:
1. Fill out the Wikimedia Hackathon Survey <
https://wikimedia.qualtrics.com/jfe/form/SV_cGbCKj4xyP0H3wi >. For more
information on privacy and data-handling, see the survey privacy statement
<https://foundation.wikimedia.org/wiki/Wikimedia_Hackathon_Post-Event_Survey…>.
The
survey will remain open until May 29, 2022.
2. If you would like to share feedback but do not wish to take the
Qualtrics survey, you can leave feedback on the Etherpad
<https://etherpad.wikimedia.org/p/Wikimedia_Hackathon_2022_Feedback>.
Finally, check out the badges
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022/How_to#Joining_a_se…>
the committee made. You can put them on your userpages to show your
participation.
Thank you again for joining us! It was so much fun to meet everyone and
hack together.
See you at the Wikimania Hackathon in August!
Haley, on behalf of the
2022 Wikimedia Hackathon Team
I wanted to share my reply to a recent Telegraph conversation:
Thad Guidry, [5/21/2022 10:22 AM]
[In reply to Nikki]
Agree somewhat, however in the case of P31 we already have P6609 that
describes the general SKOS/OWL "transitive over" and we added the
value-type constraint https://www.wikidata.org/wiki/Q21510865 to be
transitive property https://www.wikidata.org/wiki/Q18647515
But that was not the case with P279 ... where instead we stated that P279
itself is an instance of transitive property ... which is what probably
confuses folks.
[[wikilinksbot]], [5/21/2022 10:22 AM]
P31 (https://www.wikidata.org/entity/P31) – instance of
P6609 (https://www.wikidata.org/entity/P6609) – value hierarchy property
P279 (https://www.wikidata.org/entity/P279) – subclass of
Thad Guidry, [5/21/2022 10:26 AM]
So P279 is a https://www.wikidata.org/wiki/Q18647515 and P31 is not.
[[wikilinksbot]], [5/21/2022 10:26 AM]
P279 (https://www.wikidata.org/entity/P279) – subclass of
P31 (https://www.wikidata.org/entity/P31) – instance of
Thad Guidry, [5/21/2022 10:29 AM]
Details here: https://www.w3.org/TR/owl-ref/#TransitiveProperty-def
Thad Guidry, [5/21/2022 10:38 AM]
So... (lolol) .... through transitivity once an item becomes an instance of
a class... then it automatically inherits all properties of that class...
but only and strong ONLY WHEN it is considered an instance of a class...
and not before.
Reasoners, interpreters (external, custom code, institutions, etc.) might
apply transitivity "slightly" differently for different contexts, and might
bucket some items prematurely to be considered an instance of a class ...
but generally, the old adage is that of the above paragraph... only once it
is considered an instance of.
The problem as often seen in Wikidata is that sometimes higher classes are
currently not abstract enough sometimes to fulfill broader roles... *and
hence... a broader higher class oftentimes just needs to be created to make
things in the hierarchy a bit more sensical.*
Thad
https://www.linkedin.com/in/thadguidry/https://calendly.com/thadguidry/
Dear Wikidata community,
The open call for applications to join the Wikimedia accelerator program –
UNLOCK <https://www.wikimedia.de/unlock/> is open* until May 29th!*
At UNLOCK, we are looking for your project idea that breaks down social and
technical barriers so that more people can participate in, use and share
knowledge – projects that create knowledge equity.
This call also goes to project teams in the Wikidata community who are
working on new and innovative free knowledge projects. These projects could
be the development of tools building on top of Wikidata's data, of
applications for social and public good or related to civic tech. A
concrete example is GovDirectory
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Govdirectory> who joined
the UNLOCK program in 2021 and developed a crowd-sourced and fact-checked
directory of official governmental online accounts and services.
Participants can expect professional coaching, peer-to-peer sessions,
access to and advice from experts and, if needed, financial support in the
form of a grant for the implementation and further development of your
idea!
If you think you might be a good fit
<https://www.wikimedia.de/unlock/program/#Eligibility>, then be sure to
send us your application <https://www.wikimedia.de/unlock/application/>!
If you are still unsure or have any questions, please contact us (
unlock(a)wikimedia.de) and we will be happy to help you!
All the best & happy weekend
Kannika & the UNLOCK team
--
Kannika Thaimai Program Lead | Programmleitung
Wikimedia Accelerator UNLOCK | Wikimedia Deutschland
She/Her | Sie/Ihr
UNLOCK website <https://www.wikimedia.de/unlock/> | LinkedIn
<https://www.linkedin.com/company/unlock-acc> | Twitter
<https://twitter.com/UNLOCK_Acc>
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Tel. +49 30 577 11 62 0
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e.
V. Eingetragen im Vereinsregister des Amtsgerichts
Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig
anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
Dear Wikidata community,
We would like to remind you of the open call for applications to join
the Wikimedia
accelerator program – UNLOCK <https://www.wikimedia.de/unlock/>.
*Applications are open until May 29th!*
At UNLOCK, we are looking for your project idea that breaks down social and
technical barriers so that more people can participate in, use and share
knowledge – projects that create knowledge equity.
This call also goes to project teams in the Wikidata community who are
working on new and innovative free knowledge projects. These projects could
be the development of tools building on top of Wikidata's data, of
applications for social and public good or related to civic tech. A
concrete example is GovDirectory
<https://www.wikidata.org/wiki/Wikidata:WikiProject_Govdirectory> who joined
the UNLOCK program in 2021 and developed a crowd-sourced and fact-checked
directory of official governmental online accounts and services.
Participants can expect professional coaching, peer-to-peer sessions,
access to and advice from experts and, if needed, financial support in the
form of a grant for the implementation and further development of your
idea!
If you think you might be a good fit
<https://www.wikimedia.de/unlock/program/#Eligibility>, then be sure to
send us your application <https://www.wikimedia.de/unlock/application/>!
If you are still unsure or have any questions, please contact us (
unlock(a)wikimedia.de) and we will be happy to help you!
All the best
Kannika & the UNLOCK team
--
Kannika Thaimai Program Lead | Programmleitung
Wikimedia Accelerator UNLOCK | Wikimedia Deutschland
She/Her | Sie/Ihr
UNLOCK website <https://www.wikimedia.de/unlock/> | LinkedIn
<https://www.linkedin.com/company/unlock-acc> | Twitter
<https://twitter.com/UNLOCK_Acc>
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Tel. +49 30 577 11 62 0
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e.
V. Eingetragen im Vereinsregister des Amtsgerichts
Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig
anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
Hi everyone,
We hope you’re ready for this three-day event, because the event starts in
10 hours!
The main hackathon will take place over the weekend (Friday through
Sunday), with two sets of core hours for sessions, social events, and
hacking. These core hours are:
-
3:00 <https://iw.toolforge.org/zonestamp/1653102000> - 6:00
<https://iw.toolforge.org/zonestamp/1653112800>UTC (Note: this is
tonight for some time zones!)
-
15:00 <https://iw.toolforge.org/zonestamp/1653145200>- 19:0
<https://iw.toolforge.org/zonestamp/1653159600>0 UTC
We’re expecting the virtual space to be the busiest at these times. Outside
of those core hours, you’re welcome to stay online to hack on projects,
collaborate with others, or hang out in the virtual space.
The goal with this schedule is to allow time for breaks and to accommodate
as many time zones as possible. You are not expected to attend both sets of
core hours - choose whichever hours work for you! For more info, see the
Schedule <https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022/Schedule>.
When will the event start?
The opening ceremony will happen twice - once at 3:00 UTC, and once at
15:00 UTC on May 20. Find the links on the schedule
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022/Schedule>!
How can I join the virtual space?
We’ll be using an online game-style space for the Hackathon. The links will
be published shortly before the event on the hackathon page on MediaWiki.org
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022>. There will be
rooms for hacking and for sessions. Feel free to explore the virtual space
and join any room - they’re open for everyone!
What happens if I need help?
Once the platform goes live, you will be able to find a Help Desk where you
can ask questions, report any incidents, or just consult useful information
about the event. There are also discussion channels
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022/Discussions> that
you can participate in.
How can I work on a project?
If you have an idea, you will be able to add your own projects
<https://phabricator.wikimedia.org/project/board/5802/> on Phabricator. If
you don’t know yet what to work on, see what projects
<https://phabricator.wikimedia.org/project/view/5802/> others will be
working on. You might find a project to join or get inspiration for your
own idea!
If you have any other questions, please check our FAQ
<https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2022/FAQ> section or
leave a comment on the talk page.
See you soon!
Melinda, for the Hackathon Committee
--
Melinda Seckington
Developer Advocacy Manager
Wikimedia Foundation <https://wikimediafoundation.org/>
The Seventeenth International Workshop on
ONTOLOGY MATCHING
(OM-2022)
http://om2022.ontologymatching.org/
October 23rd or 24th, 2022,
International Semantic Web Conference (ISWC) Workshop Program,
Hybrid conference, Hangzhou, China
BRIEF DESCRIPTION AND OBJECTIVES
Ontology matching is a key interoperability enabler for the Semantic Web,
as well as a useful technique in some classical data integration tasks
dealing with the semantic heterogeneity problem. It takes ontologies
as input and determines as output an alignment, that is, a set of
correspondences between the semantically related entities of those
ontologies.
These correspondences can be used for various tasks, such as ontology
merging, data interlinking, query answering or navigation over knowledge
graphs.
Thus, matching ontologies enables the knowledge and data expressed
with the matched ontologies to interoperate.
The workshop has three goals:
1.
To bring together leaders from academia, industry and user institutions
to assess how academic advances are addressing real-world requirements.
The workshop will strive to improve academic awareness of industrial
and final user needs, and therefore, direct research towards those needs.
Simultaneously, the workshop will serve to inform industry and user
representatives about existing research efforts that may meet their
requirements. The workshop will also investigate how the ontology
matching technology is going to evolve, especially with respect to
data interlinking, knowledge graph and web table matching tasks.
2.
To conduct an extensive and rigorous evaluation of ontology matching
and instance matching (link discovery) approaches through
the OAEI (Ontology Alignment Evaluation Initiative) 2022 campaign:
http://oaei.ontologymatching.org/2022/
3.
To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.
TOPICS of interest include but are not limited to:
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios (e.g.,
public sector);
Application of matching techniques in real-world scenarios (e.g., in
cloud, with mobile apps);
Formal foundations and frameworks for matching;
Novel matching methods, including link prediction, ontology-based
access;
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Privacy-aware matching;
Process model matching;
Large-scale and efficient matching techniques;
Matcher selection, combination and tuning;
User involvement (including both technical and organizational aspects);
Explanations in matching;
Social and collaborative matching;
Uncertainty in matching;
Expressive alignments;
Reasoning with alignments;
Alignment coherence and debugging;
Alignment management;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).
SUBMISSIONS
Contributions to the workshop can be made in terms of technical papers and
posters/statements of interest addressing different issues of ontology
matching
as well as participating in the OAEI 2022 campaign. Long technical papers
should
be of max. 12 pages. Short technical papers should be of max. 5 pages.
Posters/statements of interest should not exceed 2 pages.
All contributions have to be prepared using the LNCS Style:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
and should be submitted in PDF format (no later than August 9th, 2022)
through the workshop submission site at:
https://www.easychair.org/conferences/?conf=om2022
Contributors to the OAEI 2022 campaign have to follow the campaign
conditions
and schedule at http://oaei.ontologymatching.org/2022/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
August 9th, 2022: Deadline for the submission of papers.
September 6th, 2022: Deadline for the notification of
acceptance/rejection.
September 20th, 2022: Workshop camera ready copy submission.
October 23rd or 24th, 2022: OM-2022, hybrid conference, Hangzhou,
China.
Contributions will be refereed by the Program Committee.
Accepted papers will be published in the workshop proceedings
as a volume of CEUR-WS as well as indexed on DBLP.
ORGANIZING COMMITTEE
1. Pavel Shvaiko (main contact)
Trentino Digitale, Italy
2. Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
3. Ernesto Jiménez-Ruiz
City, University of London, UK & SIRIUS, University of Oslo, Norway
4. Oktie Hassanzadeh
IBM Research, USA
5. Cássia Trojahn
IRIT, France
PROGRAM COMMITTEE (to be completed):
Alsayed Algergawy, Jena University, Germany
Manuel Atencia, Universidad de Málaga, Spain
Jiaoyan Chen, University of Oxford, UK
Jérôme David, University Grenoble Alpes & INRIA, France
Gayo Diallo, University of Bordeaux, France
Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulic, University of Rijeka, Croatia
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Naouel Karam, Fraunhofer, Germany
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Majid Mohammadi, Eindhoven University of Technology, Netherlands
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondrej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Science, China
-------------------------------------------------------
More about ontology matching:
http://www.ontologymatching.org/http://book.ontologymatching.org/
-------------------------------------------------------
Best Regards,
Pavel
-------------------------------------------------------
Pavel Shvaiko, PhD
Trentino Digitale, Italy
http://www.ontologymatching.org/https://www.trentinodigitale.it/http://www.dit.unitn.it/~pavel
--
Cap. Soc. Euro 6.433.680,00 - REG. IMP. / C.F. / P.IVA 00990320228
E-mail:
tndigit(a)tndigit.it <mailto:tndigit@tndigit.it> - www.trentinodigitale.it
<http://www.trentinodigitale.it>
Società soggetta ad attività di direzione
e coordinamento da parte della Provincia Autonoma di Trento - C.Fisc.
00337460224.
Questo messaggio è indirizzato esclusivamente ai destinatari
in intestazione, può contenere informazioni protette e riservate ai sensi
della normativa vigente e ne è vietato qualsiasi impiego diverso da quello
per cui è stato inviato. Se lo avete ricevuto per errore siete pregati di
eliminarlo in ogni sua parte e di avvisare il mittente
The Third Wikidata Workshop
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