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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