The 18th International Workshop on
ONTOLOGY MATCHING
(OM-2023)
http://om2023.ontologymatching.org/
November 6th or 7th, 2023,
International Semantic Web Conference (ISWC) Workshop Program,
M.A.I.C.C., Athens, Greece
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) 2023 campaign:
http://oaei.ontologymatching.org/2023/
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;
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 2023 campaign. Long technical papers
should
be of max. 12 pages. Short technical papers should be of max. 6 pages.
Posters/statements of interest should not exceed 3 pages.
All contributions have to be prepared using the CEUR-ART, 1-column style.
Overleaf page for LaTeX users is available at
https://www.overleaf.com/read/gwhxnqcghhdt,
while offline version with the style files is available from
http://ceur-ws.org/Vol-XXX/CEURART.zip.
Submissions should be uploaded in PDF format
through the workshop submission site at:
https://www.easychair.org/conferences/?conf=om2023
Contributors to the OAEI 2023 campaign have to follow the campaign
conditions
and schedule at http://oaei.ontologymatching.org/2023/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
July 31st, 2023: Deadline for the submission of papers.
August 28th, 2023: Deadline for the notification of
acceptance/rejection.
September 4th, 2023: Workshop camera ready copy submission.
November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece.
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:
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, INESC-ID&IST, University of Lisbon, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulić, 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
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Catia Pesquita, University of Lisbon, Portugal
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Giorgos Stoilos, University of Oxford, UK
Valentina Tamma, University of Liverpool, UK
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondřej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Sciences, China
Lu Zhou, TigerGraph, USA
-------------------------------------------------------
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.
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eliminarlo in ogni sua parte e di avvisare il mittente
Dear everyone,
As presented at last year's WikidataCon
<https://www.youtube.com/watch?v=e_VxTlBNkyk>, Wikimedia Deutschland has
set out to find new ways for collaboration around Wikidata software
development to enhance the diversity of our movement, increase Wikibase’s
scalability and robustness and breathe life into our movement principles of
knowledge equity. With a grant from Arcadia
<https://www.arcadiafund.org.uk/>, a charitable fund administered by Lisbet
Rausing and Peter Baldwin, we will be able to implement such a
collaboration in the next two years.
Today, we are happy to share an exciting update on the progress of this
project with all of you. After spending the last few months with
conversations with the movement groups who were interested in joining such
a partnership, we have now reached a point where we can spread the news
about the future partners and projects that will shape this Wikidata
software collaboration.
Wikimedia Indonesia, the Igbo Wikimedians User Group and Wikimedia
Deutschland will be joining forces to advance the technical capacities of
the movement around Wikidata development and with this, make the software
and tools more usable by cultures underrepresented in technology, people of
the Global South and speakers of minority languages.
Wikimedia Indonesia, a non-profit organization based in Jakarta, Indonesia
and established in 2008, is dedicated to encouraging the growth,
development & dissemination of knowledge in Indonesian and other languages
spoken in Indonesia. Since then, Wikimedia Indonesia has supported the
development of 14 Wikipedias in the languages spoken in Indonesia, 12
regional Wikimedian communities spread across the country, and two
Wikimedia project-based communities.
For this project, in collaboration with Wikimedia Deutschland, Wikimedia
Indonesia wants to build up a software team of their own in the course of
the next 2 years. The tools will hopefully help under-resourced language
communities contributing to the flourishing of their languages online
through lexicographical data, and also involving the local language
communities in contributing to lexemes in Wikidata.
Igbo Wikimedians is a group of Wikimedians that are committed to working on
various wiki projects related to Igbo language
<https://en.wikipedia.org/wiki/Igbo_language> and culture. The user group
is organizing projects around community building in the Igbo community,
content improvement for Wikipedia and its sister project and has
established its own Wikidata hub in 2021.
The Igbo Wikimedia User Group and their program of the Wiki Mentor Africa
<https://m.wikidata.org/wiki/Wikidata:Wiki_Mentor_Africa> is aiming at
building up technical capacity in African Wikimedia communities by
mentoring African developers for Wikidata Tool Development. Wikimedia
Deutschland will support the user group in the implementation of their
project and mentoring program.
Wikimedia Deutschland has been founded in 2004 as a member’s association
and is located in Berlin, Germany. Wikimedia Deutschland support
communities like the Wikipedia community, develop software for Wikimedia
projects and the ecosystem of Free Knowledge, and wants to improve the
political and legal framework for Wikipedia and for Free Knowledge in
general.
Specifically, Wikimedia Deutschland has been working on the development of
Wikidata since 2012. Since then, an active and vibrant community of
volunteer editors and programmers, re-users, data donors, affiliates and
more has formed around Wikidata.
Wikimedia Deutschland will be responsible for the administrative setup of
those collaborations and the communication with Arcadia. We are also happy
to share our experiences and knowledge about establishing software teams,
software development in the Wikidata/Wikibase environment, the Wikidata
community and providing support for emerging tech communities.
If you want to find out more about the partnership, you can read up on this
on our project page on Meta
<https://meta.wikimedia.org/wiki/Software_Collaboration_for_Wikidata>,
where we will keep updating the community on the progress of this
collaboration. If you have any comments, suggestions or questions please
use the talk page there to get in contact with us.
We are all excited to see those collaborations coming to life!
With kind regards,
Igbo Wikimedians User Group
Wikimedia Indonesia
Wikimedia Deutschland
--
Maria Heuschkel
Projektmanagerin
Softwareentwicklung
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Tel. (030) 219 158 26-0
https://wikimedia.de
Unsere Vision ist eine Welt, in der alle Menschen am Wissen der Menschheit
teilhaben, es nutzen und mehren können. Helfen Sie uns dabei!
https://spenden.wikimedia.de
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.
Extended deadline! Papers are due on Thursday, 27 July 2023
The Fourth Wikidata Workshop
Call for Papers
Co-located with the 22nd International Conference on Semantic Web (ISWC
2023).
Date: November 7, 2023
In Athens, Greece (in-person event)
The format of the workshop will be announced soon
Website: https://wikidataworkshop.github.io/2023/
== Important dates ==
Papers due: Thursday, 27 July 2023 (Extended!)
Notification of accepted papers: Thursday, September 31, 2023
Camera-ready papers due: Thursday, September 7, 2023
Workshop date: November 07, 2023
== 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 again 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 exchanges rather than oral
presentations. For this reason, all accepted papers will be presented in
short talks and accompanied by a poster.
== 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 of Wikidata
- Using LLM with Wikidata
- Innovative uses of AI and NLP applications for 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 using a single-blind review process. 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 OpenReview(Please add “[NOVEL]” at the
beginning of the title on the submission page so we know that you are
submitting to this track):
https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wik…
= 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 the 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 OpenReview (please add “[PUBLISHED]” at
the beginning of the title on the submission page so we know that you are
submitting to this track):
https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wik…
== Proceedings ==
The complete set of papers from the Novel Works Track will be published
with the CEUR Workshop Proceedings (CEUR-WS.org).
== Best Paper Award ==
We will recognize the best paper with the best paper award. Reviewers will
be asked to flag papers they deem worthy of a prize. The general chairs
will set up a small panel that will read the papers, consider the
reviewers' comments and assess the talk to determine the winner. The award
comes with a 500 € prize, sponsored by Robert Bosch GmbH.
== Organizing committee ==
Lucie-Aimée Kaffee, Hasso Plattner Institute, Lucie-Aimee.Kaffee[[(a)]]hpi.de
Simon Razniewski, Bosch Center for AI, Simon.Razniewski[[(a)]]de.bosch.com
Kholoud Alghamdi, King's College London, kholoud.alghamdi[[(a)]]kcl.ac.uk
Hiba Arnaout, Max Planck Institute for Informatics,
harnaout[[(a)]]mpi-inf.mpg.dec
--
Lucie-Aimée Kaffee
*(apologies for cross-posting)*
Hi everyone,
Our next Wikidata+Wikibase office hours
<https://www.wikidata.org/wiki/Wikidata:Events#Office_hours> will be held
on Wednesday, July 12th 2023 at 16:00 UTC (18:00 Berlin) in the Wikidata
Telegram group <https://t.me/joinchat/IeCRo0j5Uag1qR4Tk8Ftsg>.
The Wikidata and Wikibase office hours are online events where the
development team presents what we have been working on over the past
quarter, and the community is welcome to ask questions and discuss
important issues related to the development of Wikidata and Wikibase.
We hope to see you there.
--
Mohammed Sadat
*Community Communications Manager, Wikidata*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
https://wikimedia.de
Grab a spot in my calendar for a chat: calendly.com/masssly.
Keep up to date! Current news and exciting stories about Wikimedia,
Wikipedia and Free Knowledge in our newsletter (in German): Subscribe now
<https://www.wikimedia.de/newsletter/>.
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
https://spenden.wikimedia.de
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 all,
I am wondering how to create Lexemes on our Wikibase, FactGrid, with QuickStatements - is there anyone who could teach me the trick?
https://www.wikidata.org/wiki/Help:QuickStatements
...does not quite tell me.
Best,
Olaf
Dr. Olaf Simons
Forschungszentrum Gotha der Universität Erfurt
Am Schlossberg 2
99867 Gotha
Büro: +49-361-737-1722
Mobil: +49-179-5196880
Privat: Hauptmarkt 17b/ 99867 Gotha
Hi everyone,
A while ago we did a survey among reusers about the different types of
ontology issues they are facing when building applications and more
using data from Wikidata. The results are available now. More details
here: https://www.wikidata.org/wiki/Wikidata_talk:Ontology_issues_prioritization#…
Cheers
Lydia
--
Lydia Pintscher - http://about.me/lydia.pintscher - WD:Q18016466
Portfolio Lead for Wikidata
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
https://wikimedia.de
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.