Hoi,
Will presentations be recorded? That would open up these subjects much
wider.
Thanks,
GerardM
On Tue, 14 Jul 2020 at 16:40, Georgios Mavropalias <
[email protected]> wrote:
> Hi Lucie,
>
> Thank you for the email.
>
> How much will it cost to just attend the conference?
>
> Kind regards,
> Georgios
>
>
> Georgios Mavropalias
> Mobile phone: +61411896902
> Exercise Medicine Research Institute,
> School of Medical and Health Sciences,
> Edith Cowan University,
> 270 Joondalup Drive, Joondalup,
> WA, 6027, Australia
>
> https://twitter.com/MavropaliasG
>
>
>
> On Tue, 14 Jul 2020, 22:29 Lucie Kaffee, <[email protected]> wrote:
>
>> *The First Wikidata Workshop*
>>
>> Co-located with the 19th International Conference on Semantic Web (ISWC
>> 2020).
>> Date: October 29, 2020
>> 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: October 29, 2020
>>
>> == 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 also encourage submissions on the topic of Abstract Wikipedia,
>> particularly around collaborative code management, natural language
>> generation by a community, the abstract representation of knowledge, and
>> the interaction between Abstract Wikipedia and Wikidata on the one, and
>> Abstract Wikipedia and the language Wikipedias on the other side.
>> 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
>> - Abstract Wikipedia
>>
>> == 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, Wikimedia Foundation
>>
>> == Programme committee ==
>>
>> - Dan Brickley, Google
>> - Andrew D. Gordon, Microsoft Research & University of Edinburgh
>> - Dennis Diefenbach, University Jean Monet
>> - Aidan Hogan, Universidad de Chile
>> - Markus Krötzsch, Technische Universität Dresden
>> - Edgar Meij, Bloomberg
>> - Claudia Müller-Birn, FU Berlin
>> - Finn Årup Nielsen, Technical University of Denmark
>> - Thomas Pellissier Tanon, Télécom ParisTech
>> - Lydia Pintscher, Wikidata, Wikimedia Deutschland
>> - Alessandro Piscopo, BBC
>> - Marco Ponza, University of Pisa
>> - Simon Razniewski, Max Planck Institute for Informatics
>> - Miriam Redi, Wikimedia Foundation
>> - Cristina Sarasua, University of Zurich
>> - Maria-Esther Vidal, TIB Hannover
>> - Pavlos Vougiouklis, Huawei Technologies, Edinburgh
>> - Zainan Victor Zhou, Google
>>
>> --
>> Lucie-Aimée Kaffee
>> _______________________________________________
>> Wikidata mailing list
>> [email protected]
>> https://lists.wikimedia.org/mailman/listinfo/wikidata
>>
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