Hi GerardM, I will discuss this with the authors of the papers, but I will encourage them to record their talk and make it accessible if they agree. We will update the website accordingly, thanks for your interest! :)
On Tue, 14 Jul 2020 at 17:48, Gerard Meijssen <gerard.meijs...@gmail.com> wrote: > 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 < > georgios.mavropal...@gmail.com> 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, <lucie.kaf...@gmail.com> 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 >>> Wikidata@lists.wikimedia.org >>> https://lists.wikimedia.org/mailman/listinfo/wikidata >>> >> _______________________________________________ >> Wikidata mailing list >> Wikidata@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wikidata >> > _______________________________________________ > Wikidata mailing list > Wikidata@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata > -- Lucie-Aimée Kaffee Web and Internet Science Group School of Electronics and Computer Science University of Southampton
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