Overview
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 2023 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.
Call for Papers
This workshop will have two tracks: Novel Work, and Previously Published Work.
Papers in the Novel Work track will be published as part of the workshop proceedings. The Previously Published Work track is for papers already published in other conferences, giving the community the chance to access and discuss relevant work that has been presented elsewhere as part of the workshop.
Novel Work Track
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).
For the Novel Work track, we will accept papers up to 12 pages (excluding references, contribution of the paper should justify the length of the paper). We invite the following types of papers:
Previously Published Work Track
Published papers will be reviewed by the organising committee in terms of topical fit and prominence of the publication venue. They will not be published as part of the proceedings.
For the Previously Published Work track, we will accept papers with no page limit, prioritizing instead the importance and relevance of the publication. We invite the following types of papers:
Submission
Papers have to be submitted through Openreview (link coming soon).
We ask authors to declare the track they intend on submitting to. To do so, please add, at the beginning of the "title" field on the Openreview submission, either the string "[Novel]", for the Novel Work track, or the string "[Published]", for the Previously Published track.
Submission Link: TBA
Important Dates
Papers due: Thursday, 20 July 2023
Notification of accepted papers: Thursday, 31 August 2023
Camera ready papers due: Thursday, 07 September 2023
Workshop date: 06 or 07 November 2023
Submission Guidelines
Submissions must be as PDF, for the [Novel] track formatted in the style of the CEUR Publications format for CEUR workshop proceedings. A template is available at https://www.overleaf.com/read/pwspggxsbdvy. For the [Published] track, no reformatting of the original PDFs is needed.
Schedule Detail
The workshop time is: 2 - 6 pm (CEST), 1 - 5 pm (UK), 5 - 9 am (California, US)
All times below in CEST.
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14:00 - 14:10
Welcome
Welcome from the organisers, agenda, rules of engagement -
14:10 - 14:55
Keynote 1: TBA
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14:55 - 15:15
Lightning Talks 1
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15:15 - 15:35
Poster Session 1
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15:35 - 15:45
Break
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15:45 - 16:30
Keynote 2: TBA
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16:30 - 16:50
Lightning Talks 2
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16:50 - 17:10
Poster Session 2
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17:10 - 17:30
Lightning Talks 3
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17:30 - 17:50
Poster Session 3
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17:50 - 18:00
Closing
Concluding remarks, closing
Sessions / Papers
Our Speakers
Organization
Organizing Committee
Joint email: wikidata-workshop@googlegroups.com
Lucie-Aimée Kaffee, Hasso Plattner Institute. lucie.kaffee[[@]]gmail.com
Lucie-Aimée Kaffee is a postdoctoral research fellow at the Hasso Plattner Institute. She acquired her PhD from the University of Southampton and was previously a postdoctoral research fellow at CopeNLU, University of Copenhagen, a research intern at Bloomberg, London, a research fellow at TIB Hannover and software developer in the Wikidata team, Wikimedia Germany. Her research focus is multilingual linked data in collaborative knowledge graphs and natural language processing.
Simon Razniewski, Bosch Center for AI, Simon.Razniewski[[@]]de.bosch.com
Simon Razniewski is a research scientist in the NLP and Neuro-Symbolic AI group at the Bosch Center for AI. His research focuses on methods for knowledge base construction, as well as quality assessment, with applications in Wikidata and beyond. He has held senior roles in program committees of major conferences such as IJCAI'21 (area chair), or ISWC'20 and CIKM'20 (senior PC member).
Kholoud Saad Alghamdi, King's College London, kholoud.alghamdi[[@]]kcl.ac.uk
Kholoud Saad Alghamdi is a PhD candidate at King's College London. She obtained her master's degree in Computer Science from the University of Southampton. Her PhD project develops an items recommender system for Wikidata editors. Before that, she was lecturer at King Abdulaziz University and worked previously as a data analyst in the industry.
Hiba Arnaout, Max Planck Institute for Informatics, harnaout[[@]]mpi-inf.mpg.de
Hiba Arnaout is a PhD candidate at Max Planck Institute for Informatics. Her research focus is on searching and curating knowledge bases. She co-created and presented a tutorial on Completeness, Recall, and Negation in Open-World Knowledge Bases at top venues such as VLDB and KR, and participated in the PC of various conferences such as ISWC and IJCAI.