[Wiki-research-l] [CfP] The Fourth Wikidata Workshop @ ISWC

We are very excited that we will conduct the fourth Wikidata workshop this year and would be very happy to see a lot of submissions from the Wikimedia research community! Please see the call for papers below! The Fourth Wikidata Workshop Call for Papers Co-located with the 22nd International Conference on Semantic Web (ISWC 2023). Date: November 6 or 7, 2023 The format of the workshop will be announced soon Website: https://wikidataworkshop.github.io/2023/ == Important dates == Papers due: Thursday, 20 July 2023 Notification of accepted papers: Thursday, September 31, 2023 Camera-ready papers due: Thursday, September 7, 2023 Workshop date: November 06/07, 2023 == 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 primarily 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 are less interested in are works that 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. This year, we again added a track for already published work. To foster conversations around the topic of Wikidata, we invite authors of papers published at other conferences to submit their papers to present at the workshop. These will not be included in the proceedings but gives a chance for authors to interact with the community. We welcome interdisciplinary work, as well as interesting applications that 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 exchanges rather than oral presentations. For this reason, all accepted papers will be presented in short talks and accompanied by a poster. == 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 of Wikidata - Using LLM with Wikidata - Innovative uses of AI and NLP applications for 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. = Track 1: Novel Works = The papers in this track will be peer-reviewed by at least three researchers using a single-blind review process. Accepted papers will be published as open-access papers on CEUR (authors can also waive this). We invite the following types of papers: - 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 resources 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. Papers have to be submitted through OpenReview(Please add “[NOVEL]” at the beginning of the title on the submission page so we know that you are submitting to this track): https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wik… = Track 2: Published works = This track welcomes papers previously published at a peer-reviewed research venue to be presented and discussed in the workshop. They do not have to follow the formatting and page limit instructions from Track 1 and can instead be submitted in the original format. Previously published papers will be reviewed by the organising committee in terms of the topical fit and prominence of the publication venue. They will not be published as part of the proceedings. We invite the following types of papers: - Full research paper: Previously published research contributions - Resource paper: Previously published datasets or other resources that are important or interesting to the community - Demo paper: Presenting a previously published system critically enabled by Wikidata Papers have to be submitted through OpenReview (please add “[PUBLISHED]” at the beginning of the title on the submission page so we know that you are submitting to this track): https://openreview.net/group?id=swsa.semanticweb.org/ISWC/2023/Workshop/Wik… == Proceedings == The complete set of papers from the Novel Works Track will be published with the CEUR Workshop Proceedings (CEUR-WS.org). == Best Paper Award == We will recognize the best paper with the best paper award. Reviewers will be asked to flag papers they deem worthy of a prize. The general chairs will set up a small panel that will read the papers, consider the reviewers' comments and assess the talk to determine the winner. The award comes with a 500 € prize, sponsored by Robert Bosch GmbH. == Organizing committee == Lucie-Aimée Kaffee, Hasso Plattner Institute, Lucie-Aimee.Kaffee[[(a)]]hpi.de Simon Razniewski, Bosch Center for AI, Simon.Razniewski[[(a)]]de.bosch.com Kholoud Alghamdi, King's College London, kholoud.alghamdi[[(a)]]kcl.ac.uk Hiba Arnaout, Max Planck Institute for Informatics, harnaout[[(a)]]mpi-inf.mpg.dec -- Lucie-Aimée Kaffee