== 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
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