Wikidata Workshop 2020: Wikidata Workshop 2020 ISWC 2020 Athens, Greece, November 2-3, 2020 |
Conference website | http://wikidataworkshop.github.io/ |
Submission link | https://easychair.org/conferences/?conf=wikidataworkshop2020 |
Submission deadline | July 1, 2020 |
Wikidata is an open knowledge base hosted by the Wikimedia Foundation that can be read and edited by both humans and machines. Wikidata acts as the central source of common, open structured data used by Wikipedia, Wiktionary, Wikisource, and others. It is used in a variety of academic and industrial applications.
In recent years, we have seen an increase in the number of scientific publications around Wikidata. While there are a number of venues for the Wikidata community to exchange, none of those publish original research. We want to bridge the gap between these communities and the research events and give the research-focused part of the Wikidata community a venue to meet and exchange information and knowledge.
The Wikidata Workshop 2020 focuses on the challenges and opportunities of working on a collaborative open-domain knowledge graph such as Wikidata, which is edited by an international and multilingual community. We encourage submissions that observe the influence such a knowledge graph has on the web of data, as well as those working on improving this knowledge graph itself. This workshop brings together everyone working around Wikidata in both the scientific field and industry to discuss trends and topics around this collaborative knowledge graph.
Submission Guidelines
The papers will be peer-reviewed by at least three researchers. Selected papers will be published on CEUR (we only publish to CEUR if the authors agree to have their papers published). Paper have to be submitted through easychair. Submissions must be either in PDF, 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.
We will accept papers up to 12 pages (excluding references), including the following:
- Full research papers: novel research contributions (8-12 pages)
- Short research papers: novel research contributions of smaller scope than full papers (3-5 pages)
- Position papers: presenting a novel idea, that is not yet in the scope of a research contribution (6-8 pages)
- Resource papers: presenting a new dataset or other resource, includes the publication of that resource (8-12 pages)
- In-Use papers: presenting usage of a research concept (6-8 pages)
- Demo papers: presenting a system based on research concepts (6-8 pages)
List of Topics
We encourage authors from a variety of fields to show the importance of Wikidata and its data quality in their fields.
Topics of submissions include, but are not limited to:
- Data quality and vandalism 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 linked data in Wikidata
- Wikidata for named entity linking
- Machine learning approaches to improve data quality in Wikidata
- Automatic detection of data quality in Wikidata
- Tools, bots, and datasets for improving or evaluating Wikidata
Committees
Organizing Committee
- Lucie-Aimée Kaffee, University of Southampton & Bloomberg
- Oana Tifrea-Marciuska, Bloomberg
- Elena Simperl, University of Southampton
- Denny Vrandečić, Google AI
Program committee
- Lydia Pintscher, Wikidata, Wikimedia Deutschland
- Maria-Esther Vidal, TIB Hannover
- Miriam Redi, Wikimedia Foundation
- Edgar Meij, Bloomberg
- Alessandro Piscopo, BBC
- Pavlos Vougiouklis, Huawei Technologies, Edinburgh
- Marco Ponza, University of Pisa
- Markus Krötzsch, Technische Universität Dresden
- Cristina Sarasua, University of Zurich
- Aidan Hogan, Universidad de Chile
- Claudia Müller-Birn, FU Berlin
Contact
All questions about submissions should be emailed to Lucie-Aimée Kaffee lucie.kaffee[[@]]gmail.com